| Author |
Session |
Start page |
Title |
A A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Abramovich, Yuri |
Radar Array Processing and STAP.2 |
400 |
Aperture Varying Autoregressive Covariance Modeling for 2D Oversampled Receive Arrays |
| Wireless Communications.2 |
480 |
Expected Likelihood Support for Blind SIMO Channel Identification |
| Acton, Scott |
Multidimensional and Image Processing.2 |
153 |
Speckle Reducing Diffusion for Ultrasound Image Enhancement using the Structural Similarity Image Measure |
| Aeron, Shuchin |
Geophysical Signal Processing.4 |
272 |
Methods for Large Scale Hydraulic Fracture Monitoring |
| Aguiar, Antonio Pedro |
Signal and Information Processing in Energy Grids.1 |
416 |
A Framework for Actuator Placement in Large Scale Power Systems: Minimal Strong Structural Controllability |
| Ahmad, Fauzia |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.3 |
105 |
A Beamforming Approach to Imaging of Stationary Indoor Scenes under Known Building Layout |
| Radar Array Processing and STAP.3 |
404 |
DOA Estimation Using a Sparse Uniform Linear Array with Two CW Signals of Co-prime Frequencies |
| Ahmed, Ali |
Superresolution Sensing and Reconstruction.2 |
192 |
Compressive Sampling in Array Processing |
| Akhavan Astaneh, Saeed |
Spectrum Sensing for Cognitive Radio Systems.3 |
380 |
Frequency Domain Distributed OFDM Source Detection |
| Allen, Genevera |
Tensor-based Methods for Multi-Sensor Signal Processing.3 |
220 |
Multi-way Functional Principal Components Analysis |
| Almeida, André |
Tensor-based Methods for Multi-Sensor Signal Processing.6 |
232 |
Distributed Computation of Tensor Decompositions in Collaborative Networks |
| Alrmah, Mohamed |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.4 |
109 |
Broadband Angle of Arrival Estimation Methods in a Polynomial Matrix Decomposition Framework |
| Beamforming and Array Signal Processing.8 |
332 |
Filter Bank Based Fractional Delay Filter Implementation for Widely Accurate Broadband Steering Vectors |
| Amin, Moeness |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.3 |
105 |
A Beamforming Approach to Imaging of Stationary Indoor Scenes under Known Building Layout |
| Radar Array Processing and STAP.3 |
404 |
DOA Estimation Using a Sparse Uniform Linear Array with Two CW Signals of Co-prime Frequencies |
| Ampeliotis, Dimitris |
Distributed Statistical Inference.2 |
77 |
A Decentralized Approach to Generalized Power System State Estimation |
| Andersson, Fredrik |
Beamforming and Array Signal Processing.7 |
328 |
On an Iterative Method for Direction of Arrival Estimation using Multiple Frequencies |
| Arablouei, Reza |
Distributed Statistical Inference.5 |
89 |
Partial-Diffusion Recursive Least-Squares Estimation Over Adaptive Networks |
| Estimation, Learning, and Optimization for the Smart Grids.2 |
464 |
Estimating Frequency of Three-Phase Power Systems via Widely-Linear Modeling and Total Least-Squares |
| Ariananda, Dyonisius |
Cognitive Radio and Radar Networks.1 |
440 |
Compressive Angular and Frequency Periodogram Reconstruction for Multiband Signals |
| Asaei, Afsaneh |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.5 |
113 |
Manifold Sparse Beamforming |
| Azimipanah, Aras |
Beamforming and Array Signal Processing.9 |
336 |
Experimental Results of Compressive Sensing Based Imaging in Ultrasonic Non-Destructive Testing |
| B A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Bae, Junhyeong |
Cognitive Radio and Radar Networks.3 |
448 |
Adaptive PRF Selection Technique for Multiple Targets in Track-Before-Detect |
| Baingana, Brian |
Signal Processing in Social Networks.3 |
292 |
Dynamic Structural Equation Models for Tracking Topologies of Social Networks |
| Bajwa, Waheed |
Student Poster Competition.11 |
200 |
Resource-Efficient Parametric Recovery of Linear Time-varying Systems |
| Superresolution Sensing and Reconstruction.4 |
200 |
Resource-Efficient Parametric Recovery of Linear Time-varying Systems |
| Sparse and Low-dimensional Signal Processing.1 |
236 |
Shaping the Power Spectra of Bipolar Sequences with Application to Sub-Nyquist Sampling |
| Baldassarre, Luca |
Student Poster Competition.12 |
21 |
To Convexify or Not? Regression with Clustering Penalties on Graphs |
| New Sensing and Inference Methods for Large-Scale Data.6 |
21 |
To Convexify or Not? Regression with Clustering Penalties on Graphs |
| Balzano, Laura |
New Sensing and Inference Methods for Large-Scale Data.1 |
1 |
On GROUSE and Incremental SVD |
| Bandiera, Francesco |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).1 |
25 |
A multitarget range-azimuth tracker for maritime applications |
| Multidimensional and Image Processing.3 |
157 |
Bayesian Techniques for Edge Detection on Polarimetric SAR Images |
| Bar-Shalom, Yaakov |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).2 |
29 |
ML-PMHT Threshold Determination for False Track Probability Using Extreme-Value Analysis |
| Batatia, Hadj |
Multidimensional and Image Processing.5 |
165 |
Exploiting information geometry to improve the convergence of nonparametric active contours |
| Beasley, Craig |
Geophysical Signal Processing.6 |
280 |
Wave Equation Receiver Deghosting |
| Bellachehab, Anass |
Distributed and Sensor Networks.6 |
141 |
Random Pairwise Gossip on Hadamard Manifolds |
| Berberidis, Kostas |
Distributed Statistical Inference.2 |
77 |
A Decentralized Approach to Generalized Power System State Estimation |
| Besson, Olivier |
Beamforming and Array Signal Processing.5 |
320 |
Approximate maximum likelihood direction of arrival estimation for two closely spaced sources |
| Blairon, Sylvain |
Geophysical Signal Processing.2 |
264 |
Source Separation and Distributed Sensing: the Key for an Efficient Monitoring |
| Boizard, Maxime |
Radar Array Processing and STAP.5 |
412 |
Multidimensional Low-Rank Filter based on the AU-HOSVD for MIMO STAP |
| Bose, Sandip |
Geophysical Signal Processing.3 |
268 |
Broadband Dispersion Extraction of Borehole Acoustic Modes via Sparse Bayesian Learning |
| Brahma, Swastik |
Cognitive Radio and Radar Networks.2 |
444 |
A Bilateral-Market based Mechanism for Spectrum Allocation in Cognitive Radio Networks |
| Brie, David |
Tensor-based Methods for Multi-Sensor Signal Processing.4 |
224 |
CANDECOMP/PARAFAC (CP) Direction Finding with Multi-Scale Array |
| Brigui, Frédéric |
Radar Array Processing and STAP.5 |
412 |
Multidimensional Low-Rank Filter based on the AU-HOSVD for MIMO STAP |
| Bruno, Marcelo |
Advances in Sequential Monte Carlo Methods.1 |
348 |
A Rao-Blackwellized Random Exchange Diffusion Particle Filter for Distributed Emitter Tracking |
| Buchoud, Edouard |
Geophysical Signal Processing.2 |
264 |
Source Separation and Distributed Sensing: the Key for an Efficient Monitoring |
| Bugallo, Monica |
Advances in Sequential Monte Carlo Methods.2 |
352 |
Particle Filtering for High-Dimensional Systems |
| Bunch, Pete |
Advances in Sequential Monte Carlo Methods.4 |
360 |
Particle Filtering with Progressive Gaussian Approximations to the Optimal Importance Density |
| C A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Cabric, Danijela |
Student Poster Competition.8 |
384 |
Cyclostationary Detection from Sub-Nyquist Samples for Cognitive Radios: Model Reconciliation |
| Spectrum Sensing for Cognitive Radio Systems.4 |
384 |
Cyclostationary Detection from Sub-Nyquist Samples for Cognitive Radios: Model Reconciliation |
| Cai, T. Tony |
Signal Processing for Big Data.4 |
181 |
Recent Results on Sparse Principle Component Analysis |
| Calderbank, Robert |
Superresolution Sensing and Reconstruction.4 |
200 |
Resource-Efficient Parametric Recovery of Linear Time-varying Systems |
| Student Poster Competition.11 |
200 |
Resource-Efficient Parametric Recovery of Linear Time-varying Systems |
| Sparse and Low-dimensional Signal Processing.1 |
236 |
Shaping the Power Spectra of Bipolar Sequences with Application to Sub-Nyquist Sampling |
| Calmettes, Thibaud |
Beamforming and Array Signal Processing.3 |
312 |
Performance of TOA and FOA-based Localization for Cospas-Sarsat Search and Rescue Signals |
| Candel, Ion |
Multidimensional and Image Processing.1 |
149 |
Ultrasound Testing of Metallic Structures using a Dual Symmetric Path Inspection and a Matched Filter-based Method |
| Carlsson, Marcus |
Beamforming and Array Signal Processing.7 |
328 |
On an Iterative Method for Direction of Arrival Estimation using Multiple Frequencies |
| Cevher, Volkan |
Student Poster Competition.12 |
21 |
To Convexify or Not? Regression with Clustering Penalties on Graphs |
| New Sensing and Inference Methods for Large-Scale Data.6 |
21 |
To Convexify or Not? Regression with Clustering Penalties on Graphs |
| Computational Advances in Array Processing II: Adaptive Beamforming and Radar.5 |
113 |
Manifold Sparse Beamforming |
| Chainais, Pierre |
Distributed and Sensor Networks.4 |
133 |
Learning a common dictionary over a sensor network |
| Chatterjee, Saikat |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.1 |
97 |
Enhanced Capon Beamformer Using Regularized Covariance Matching |
| Chaumette, Eric |
Beamforming and Array Signal Processing.5 |
320 |
Approximate maximum likelihood direction of arrival estimation for two closely spaced sources |
| Chen, Jie |
Distributed and Sensor Networks.5 |
137 |
Performance analysis of diffusion LMS in multitask networks |
| Cheng, Yao |
Tensor-based Methods for Multi-Sensor Signal Processing.1 |
212 |
Tensor subspace tracking via Kronecker structured projections (TeTraKron) |
| Chepuri, Sundeep Prabhakar |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).4 |
37 |
Tracking Position and Orientation of a Mobile Rigid Body |
| Beamforming and Array Signal Processing.10 |
340 |
Sparsity-Enforcing Sensor Selection for DOA Estimation |
| Clark, Daniel |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).3 |
33 |
General multi-object filtering and association measure |
| Coates, Mark |
Advances in Sequential Monte Carlo Methods.6 |
368 |
Particle filter implementation of the multi-Bernoulli filter for superpositional sensors |
| Coates, Richard |
Geophysical Signal Processing.6 |
280 |
Wave Equation Receiver Deghosting |
| Cohen, Deborah |
Student Poster Competition.8 |
384 |
Cyclostationary Detection from Sub-Nyquist Samples for Cognitive Radios: Model Reconciliation |
| Spectrum Sensing for Cognitive Radio Systems.4 |
384 |
Cyclostationary Detection from Sub-Nyquist Samples for Cognitive Radios: Model Reconciliation |
| Cohen, Kobi |
Cognitive Radio and Radar Networks.5 |
456 |
Distributed Throughput Maximization for Multi-Channel ALOHA Networks |
| Cohen, Oren |
Superresolution Sensing and Reconstruction.5 |
204 |
Sparsity based super-resolution in optical measurements |
| Coulon, Martial |
Beamforming and Array Signal Processing.3 |
312 |
Performance of TOA and FOA-based Localization for Cospas-Sarsat Search and Rescue Signals |
| D A B C D E F G H I J K L M N O P R S T V W X Y Z |
| D'Urso, Guy |
Geophysical Signal Processing.2 |
264 |
Source Separation and Distributed Sensing: the Key for an Efficient Monitoring |
| da Costa, João Paulo Carvalho Lustosa |
Tensor-based Methods for Multi-Sensor Signal Processing.2 |
216 |
Iterative Prewhitening for Multidimensional Harmonic Retrieval: New Variants and Comparative Study |
| Dall'Anese, Emiliano |
Cognitive Radio and Radar Networks.4 |
452 |
Primary Receiver Localization Using Sparsity and Interference Tweets |
| Davenport, Mark |
New Sensing and Inference Methods for Large-Scale Data.4 |
13 |
Lost Without a Compass: Nonmetric Triangulation and Landmark Multidimensional Scaling |
| de Lamare, Rodrigo |
Computational Advances in Array Processing I: Parameter Estimation and Decomposition Techniques.1 |
49 |
Low-Complexity Robust Data-Dependent Dimensionality Reduction Based on Joint Iterative Optimization of Parameters |
| Signal and Information Processing in Energy Grids.2 |
420 |
Dynamic Topology Adaptation for Distributed Estimation in Smart Grids |
| De Lathauwer, Lieven |
Tensor-based Methods for Multi-Sensor Signal Processing.5 |
228 |
Coupled Tensor Decompositions for Applications in Array Signal Processing |
| de Sousa Junior, Rafael |
Tensor-based Methods for Multi-Sensor Signal Processing.2 |
216 |
Iterative Prewhitening for Multidimensional Harmonic Retrieval: New Variants and Comparative Study |
| Degenhardt, Holger |
Wireless Communications.4 |
488 |
Known-Interference Aware Iterative MMSE Filter Design for Non-Regenerative Multi-Way Relaying |
| Del Coco, Marco |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).1 |
25 |
A multitarget range-azimuth tracker for maritime applications |
| DeL Moral, Pierre |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).3 |
33 |
General multi-object filtering and association measure |
| Demanet, Laurent |
Superresolution Sensing and Reconstruction.6 |
208 |
Sparse image super-resolution via superset selection and pruning |
| Dias, Stiven |
Advances in Sequential Monte Carlo Methods.1 |
348 |
A Rao-Blackwellized Random Exchange Diffusion Particle Filter for Distributed Emitter Tracking |
| Djurić, Petar |
Advances in Sequential Monte Carlo Methods.2 |
352 |
Particle Filtering for High-Dimensional Systems |
| Doğançay, Kutluyıl |
Distributed Statistical Inference.5 |
89 |
Partial-Diffusion Recursive Least-Squares Estimation Over Adaptive Networks |
| Estimation, Learning, and Optimization for the Smart Grids.2 |
464 |
Estimating Frequency of Three-Phase Power Systems via Widely-Linear Modeling and Total Least-Squares |
| Dogandžić, Aleksandar |
Sparse and Low-dimensional Signal Processing.3 |
244 |
Sparse X-ray CT Image Reconstruction and Blind Beam Hardening Correction via Mass Attenuation Discretization |
| Dogaru, Traian |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.3 |
105 |
A Beamforming Approach to Imaging of Stationary Indoor Scenes under Known Building Layout |
| Dong, Min |
Wireless Communications.5 |
492 |
Multicast Relay Beamforming through Dual Approach |
| E A B C D E F G H I J K L M N O P R S T V W X Y Z |
| El Halabi, Marwa |
Student Poster Competition.12 |
21 |
To Convexify or Not? Regression with Clustering Penalties on Graphs |
| New Sensing and Inference Methods for Large-Scale Data.6 |
21 |
To Convexify or Not? Regression with Clustering Penalties on Graphs |
| Eldar, Yonina |
Superresolution Sensing and Reconstruction.5 |
204 |
Sparsity based super-resolution in optical measurements |
| Student Poster Competition.8 |
384 |
Cyclostationary Detection from Sub-Nyquist Samples for Cognitive Radios: Model Reconciliation |
| Spectrum Sensing for Cognitive Radio Systems.4 |
384 |
Cyclostationary Detection from Sub-Nyquist Samples for Cognitive Radios: Model Reconciliation |
| Ely, Gregory |
Geophysical Signal Processing.4 |
272 |
Methods for Large Scale Hydraulic Fracture Monitoring |
| F A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Fanaswala, Mustafa |
Student Poster Competition.1 |
41 |
Syntactic Track-Before-Detect |
| Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).5 |
41 |
Syntactic Track-Before-Detect |
| Farnoud (Hassanzadeh), Farzad |
Signal Processing for Big Data.5 |
184 |
Gene Prioritization via Weighted Kendall Rank Aggregation |
| Firouzi, Hamed |
Signal Processing for Big Data.1 |
169 |
Two-stage variable selection for molecular prediction of disease |
| Forster, Philippe |
Radar Array Processing and STAP.5 |
412 |
Multidimensional Low-Rank Filter based on the AU-HOSVD for MIMO STAP |
| Fritsche, Carsten |
Distributed and Sensor Networks.1 |
121 |
RSS-Based Sensor Network Localization in Contaminated Gaussian Measurement Noise |
| Student Poster Competition.3 |
121 |
RSS-Based Sensor Network Localization in Contaminated Gaussian Measurement Noise |
| Frontera, Joana |
Student Poster Competition.6 |
161 |
False-alarm regulation for target detection in Hyperspectral Imaging |
| Multidimensional and Image Processing.4 |
161 |
False-alarm regulation for target detection in Hyperspectral Imaging |
| G A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Galarza, Cecilia |
Wireless Communications.3 |
484 |
Error Exponents for Bias Detection of a Correlated Process over a MAC Fading Channel |
| Gallott, Thomas |
Geophysical Signal Processing.5 |
276 |
Seismic interferometry for sparse data: SVD-enhanced Green's function estimation |
| Gatsis, Nikolaos |
Estimation, Learning, and Optimization for the Smart Grids.4 |
472 |
Stochastic Programming for Energy Planning in Microgrids with Renewables |
| Gazor, Saeed |
Spectrum Sensing for Cognitive Radio Systems.3 |
380 |
Frequency Domain Distributed OFDM Source Detection |
| Radar Array Processing and STAP.4 |
408 |
Invariant Target Detection of MIMO Radar with Unknown Parameters |
| Ghobadzadeh, Ali |
Radar Array Processing and STAP.4 |
408 |
Invariant Target Detection of MIMO Radar with Unknown Parameters |
| Giannakis, Georgios B. |
Distributed Statistical Inference.2 |
77 |
A Decentralized Approach to Generalized Power System State Estimation |
| Signal Processing in Social Networks.3 |
292 |
Dynamic Structural Equation Models for Tracking Topologies of Social Networks |
| Spectrum Sensing for Cognitive Radio Systems.5 |
388 |
Dynamic Learning for Cognitive Radio Sensing |
| Signal and Information Processing in Energy Grids.6 |
436 |
Online Learning of Load Elasticity for Electric Vehicle Charging |
| Cognitive Radio and Radar Networks.4 |
452 |
Primary Receiver Localization Using Sparsity and Interference Tweets |
| Estimation, Learning, and Optimization for the Smart Grids.4 |
472 |
Stochastic Programming for Energy Planning in Microgrids with Renewables |
| Ginolhac, Guillaume |
Radar Array Processing and STAP.5 |
412 |
Multidimensional Low-Rank Filter based on the AU-HOSVD for MIMO STAP |
| Godsill, Simon |
Advances in Sequential Monte Carlo Methods.4 |
360 |
Particle Filtering with Progressive Gaussian Approximations to the Optimal Importance Density |
| Goodman, Nathan |
Cognitive Radio and Radar Networks.3 |
448 |
Adaptive PRF Selection Technique for Multiple Targets in Track-Before-Detect |
| Gozcu, Baran |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.5 |
113 |
Manifold Sparse Beamforming |
| Greenewald, Kristjan |
Computational Advances in Array Processing I: Parameter Estimation and Decomposition Techniques.5 |
65 |
Kronecker Sum Decompositions of Space-Time Data |
| Gregoire, Yoan |
Beamforming and Array Signal Processing.3 |
312 |
Performance of TOA and FOA-based Localization for Cospas-Sarsat Search and Rescue Signals |
| Grossi, Emanuele |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).6 |
45 |
A track-before-detect algorithm with successive track cancellation |
| Gu, Renliang |
Sparse and Low-dimensional Signal Processing.3 |
244 |
Sparse X-ray CT Image Reconstruction and Blind Beam Hardening Correction via Mass Attenuation Discretization |
| Gustafsson, Fredrik |
Distributed and Sensor Networks.1 |
121 |
RSS-Based Sensor Network Localization in Contaminated Gaussian Measurement Noise |
| Student Poster Competition.3 |
121 |
RSS-Based Sensor Network Localization in Contaminated Gaussian Measurement Noise |
| Advances in Sequential Monte Carlo Methods.3 |
356 |
On Marginal Particle Filters with Linear Complexity |
| H A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Haardt, Martin |
Tensor-based Methods for Multi-Sensor Signal Processing.1 |
212 |
Tensor subspace tracking via Kronecker structured projections (TeTraKron) |
| Beamforming and Array Signal Processing.4 |
316 |
Performance Analysis of ESPRIT-Type Algorithms for Strictly Non-Circular Sources Using Structured Least Squares |
| Wireless Communications.6 |
496 |
Reduced-Complexity Distributed Beamforming Algorithm for Individual Relay Power Constraints |
| Student Poster Competition.7 |
496 |
Reduced-Complexity Distributed Beamforming Algorithm for Individual Relay Power Constraints |
| Han, Keyong |
Computational Advances in Array Processing I: Parameter Estimation and Decomposition Techniques.3 |
57 |
Source Number Detection with Nested Arrays and ULAs Using Jackknifing |
| Superresolution Sensing and Reconstruction.1 |
188 |
Wideband Direction of Arrival Estimation Using Nested Arrays |
| Hao, Yichen |
Wireless Communications.7 |
500 |
Multi-Relay Network Design Using Power-Normalized SNR |
| Harms, Andrew |
Superresolution Sensing and Reconstruction.4 |
200 |
Resource-Efficient Parametric Recovery of Linear Time-varying Systems |
| Student Poster Competition.11 |
200 |
Resource-Efficient Parametric Recovery of Linear Time-varying Systems |
| Sparse and Low-dimensional Signal Processing.1 |
236 |
Shaping the Power Spectra of Bipolar Sequences with Application to Sub-Nyquist Sampling |
| Hassanien, Aboulnasr |
Radar Array Processing and STAP.1 |
396 |
Root-MUSIC Based Source Localization Using Transmit Array Interpolation in MIMO Radar With Arbitrary Planar Arrays |
| Haupt, Jarvis |
New Sensing and Inference Methods for Large-Scale Data.3 |
9 |
Locating Salient Items in Large Data Collections With Compressive Linear Measurements |
| Heaton, Nick |
Geophysical Signal Processing.1 |
260 |
A new inversion method for NMR signal processing |
| Hegde, Rajesh |
Beamforming and Array Signal Processing.1 |
304 |
Robust Source Localization and Tracking using MUSIC-Group Delay Spectrum over Spherical Arrays |
| Hero III, Alfred |
Computational Advances in Array Processing I: Parameter Estimation and Decomposition Techniques.5 |
65 |
Kronecker Sum Decompositions of Space-Time Data |
| Student Poster Competition.10 |
73 |
Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters |
| Distributed Statistical Inference.1 |
73 |
Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters |
| Signal Processing for Big Data.1 |
169 |
Two-stage variable selection for molecular prediction of disease |
| Sparse and Low-dimensional Signal Processing.2 |
240 |
Adaptive Search for Sparse Dynamic Targets |
| Signal Processing in Social Networks.1 |
284 |
Multi-layer graph analytics for social networks |
| Himed, Braham |
Radar Array Processing and STAP.3 |
404 |
DOA Estimation Using a Sparse Uniform Linear Array with Two CW Signals of Co-prime Frequencies |
| Horikoshi, Tsutomu |
Distributed and Sensor Networks.3 |
129 |
Statistical Approaches for Personal Feature Extraction from Pressure Array Sensors |
| Houssineau, Jeremie |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).3 |
33 |
General multi-object filtering and association measure |
| I A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Ilić, Marija |
Signal and Information Processing in Energy Grids.1 |
416 |
A Framework for Actuator Placement in Large Scale Power Systems: Minimal Strong Structural Controllability |
| Ioana, Cornel |
Multidimensional and Image Processing.1 |
149 |
Ultrasound Testing of Metallic Structures using a Dual Symmetric Path Inspection and a Matched Filter-based Method |
| Iso, Toshiki |
Distributed and Sensor Networks.3 |
129 |
Statistical Approaches for Personal Feature Extraction from Pressure Array Sensors |
| J A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Jakubowicz, Jérémie |
Distributed and Sensor Networks.6 |
141 |
Random Pairwise Gossip on Hadamard Manifolds |
| Jansson, Magnus |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.1 |
97 |
Enhanced Capon Beamformer Using Regularized Covariance Matching |
| Javidi, Tara |
Distributed and Sensor Networks.7 |
145 |
Opportunistic Routing under Unknown Stochastic Models |
| Jing, Yindi |
Wireless Communications.7 |
500 |
Multi-Relay Network Design Using Power-Normalized SNR |
| Johnson, Ben |
Wireless Communications.2 |
480 |
Expected Likelihood Support for Blind SIMO Channel Identification |
| K A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Kang, Bosung |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.2 |
101 |
Constrained ML Estimation of Structured Covariance Matrices with Applications in Radar STAP |
| Kar, Soummya |
Signal Processing in Social Networks.4 |
296 |
Distributed reinforcement learning in multi-agent networks |
| Signal and Information Processing in Energy Grids.1 |
416 |
A Framework for Actuator Placement in Large Scale Power Systems: Minimal Strong Structural Controllability |
| Kasnakli, Emin-Koray |
Tensor-based Methods for Multi-Sensor Signal Processing.1 |
212 |
Tensor subspace tracking via Kronecker structured projections (TeTraKron) |
| Katayama, Jiro |
Sparse and Low-dimensional Signal Processing.5 |
252 |
Boundedness of modified multiplicative updates for nonnegative matrix factorization |
| Kaveh, Mostafa |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.4 |
109 |
Broadband Angle of Arrival Estimation Methods in a Polynomial Matrix Decomposition Framework |
| Kekatos, Vassilis |
Distributed Statistical Inference.2 |
77 |
A Decentralized Approach to Generalized Power System State Estimation |
| Khan, Amir |
Geophysical Signal Processing.2 |
264 |
Source Separation and Distributed Sensing: the Key for an Efficient Monitoring |
| Kibangou, Alain |
Tensor-based Methods for Multi-Sensor Signal Processing.6 |
232 |
Distributed Computation of Tensor Decompositions in Collaborative Networks |
| Kim, Minji |
Signal Processing for Big Data.5 |
184 |
Gene Prioritization via Weighted Kendall Rank Aggregation |
| Kim, Seung-Jun |
Spectrum Sensing for Cognitive Radio Systems.5 |
388 |
Dynamic Learning for Cognitive Radio Sensing |
| Signal and Information Processing in Energy Grids.6 |
436 |
Online Learning of Load Elasticity for Electric Vehicle Charging |
| Klein, Anja |
Wireless Communications.1 |
476 |
Optimization of the Rate Adaptation Procedures in xDSL Systems |
| Wireless Communications.4 |
488 |
Known-Interference Aware Iterative MMSE Filter Design for Non-Regenerative Multi-Way Relaying |
| Koblents, Eugenia |
Advances in Sequential Monte Carlo Methods.5 |
364 |
Particle filtering with transformed weights |
| Krim, Hamid |
Signal Processing in Social Networks.5 |
300 |
Control and Prediction of Beliefs on Social Network |
| Krishnamurthy, Vikram |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).5 |
41 |
Syntactic Track-Before-Detect |
| Student Poster Competition.1 |
41 |
Syntactic Track-Before-Detect |
| Krolik, Jeffrey |
Beamforming and Array Signal Processing.6 |
324 |
Adaptive Beamforming with Augmentable Arrays in Non-Stationary Environments |
| Kulesza, Alex |
Signal Processing in Social Networks.1 |
284 |
Multi-layer graph analytics for social networks |
| Kumar, Lalan |
Beamforming and Array Signal Processing.1 |
304 |
Robust Source Localization and Tracking using MUSIC-Group Delay Spectrum over Spherical Arrays |
| L A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Lambotharan, Sangarapillai |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.4 |
109 |
Broadband Angle of Arrival Estimation Methods in a Polynomial Matrix Decomposition Framework |
| Lapilli, Cintia |
Geophysical Signal Processing.6 |
280 |
Wave Equation Receiver Deghosting |
| Lavaei, Javad |
Signal and Information Processing in Energy Grids.3 |
424 |
Study of Nonlinear Power Optimization Problems using Algebraic Graph Theory |
| Leshem, Amir |
Cognitive Radio and Radar Networks.5 |
456 |
Distributed Throughput Maximization for Multi-Channel ALOHA Networks |
| Leus, Geert |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).4 |
37 |
Tracking Position and Orientation of a Mobile Rigid Body |
| Student Poster Competition.5 |
125 |
Relative Velocity Estimation Using Multidimensional Scaling |
| Distributed and Sensor Networks.2 |
125 |
Relative Velocity Estimation Using Multidimensional Scaling |
| Beamforming and Array Signal Processing.10 |
340 |
Sparsity-Enforcing Sensor Selection for DOA Estimation |
| Cognitive Radio and Radar Networks.1 |
440 |
Compressive Angular and Frequency Periodogram Reconstruction for Multiband Signals |
| Li, Ang |
Distributed and Sensor Networks.1 |
121 |
RSS-Based Sensor Network Localization in Contaminated Gaussian Measurement Noise |
| Student Poster Competition.3 |
121 |
RSS-Based Sensor Network Localization in Contaminated Gaussian Measurement Noise |
| Li, Jian |
Superresolution Sensing and Reconstruction.3 |
196 |
Sparse Iterative Adaptive Approach with Application to Source Localization |
| Li, Peng |
Computational Advances in Array Processing I: Parameter Estimation and Decomposition Techniques.1 |
49 |
Low-Complexity Robust Data-Dependent Dimensionality Reduction Based on Joint Iterative Optimization of Parameters |
| Li, Shang |
Signal and Information Processing in Energy Grids.5 |
432 |
Monitoring Disturbances in Smart Grids Using Distributed Sequential Change Detection |
| Li, Xiao |
Signal and Information Processing in Energy Grids.4 |
428 |
Advances in Decentralized State Estimation for Power Systems |
| Li, Yun |
Signal Processing for Big Data.3 |
177 |
Universal Multiple Outlier Hypothesis Testing |
| Liang, Ben |
Wireless Communications.5 |
492 |
Multicast Relay Beamforming through Dual Approach |
| Liu, Dehong |
Sparse and Low-dimensional Signal Processing.6 |
256 |
Blind Multi-path Elimination by Sparse Inversion in Through-the-Wall-Imaging |
| Liu, Kefei |
Tensor-based Methods for Multi-Sensor Signal Processing.2 |
216 |
Iterative Prewhitening for Multidimensional Harmonic Retrieval: New Variants and Comparative Study |
| Lops, Marco |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).6 |
45 |
A track-before-detect algorithm with successive track cancellation |
| M A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Ma, Zongming |
Signal Processing for Big Data.4 |
181 |
Recent Results on Sparse Principle Component Analysis |
| Makhzani, Alireza |
Spectrum Sensing for Cognitive Radio Systems.2 |
376 |
Distributed Spectrum Sensing in Cognitive Radios via Graphical Models |
| Malcolm, Alison |
Geophysical Signal Processing.5 |
276 |
Seismic interferometry for sparse data: SVD-enhanced Green's function estimation |
| Mankad, Shawn |
Signal Processing in Social Networks.2 |
288 |
Discovery of Path-Important Nodes using Structured Semi-Nonnegative Matrix Factorization |
| Mansour, Hassan |
Sparse and Low-dimensional Signal Processing.6 |
256 |
Blind Multi-path Elimination by Sparse Inversion in Through-the-Wall-Imaging |
| Marques, Antonio |
Cognitive Radio and Radar Networks.4 |
452 |
Primary Receiver Localization Using Sparsity and Interference Tweets |
| Mars, Jerome |
Multidimensional and Image Processing.1 |
149 |
Ultrasound Testing of Metallic Structures using a Dual Symmetric Path Inspection and a Matched Filter-based Method |
| Geophysical Signal Processing.2 |
264 |
Source Separation and Distributed Sensing: the Key for an Efficient Monitoring |
| Martinez, Gabriela |
Estimation, Learning, and Optimization for the Smart Grids.4 |
472 |
Stochastic Programming for Energy Planning in Microgrids with Renewables |
| Masciullo, Antonio |
Multidimensional and Image Processing.3 |
157 |
Bayesian Techniques for Edge Detection on Polarimetric SAR Images |
| Mateos, Gonzalo |
Signal Processing in Social Networks.3 |
292 |
Dynamic Structural Equation Models for Tracking Topologies of Social Networks |
| Maya, Juan |
Wireless Communications.3 |
484 |
Error Exponents for Bias Detection of a Correlated Process over a MAC Fading Channel |
| McLaughlin, Steve |
Multidimensional and Image Processing.5 |
165 |
Exploiting information geometry to improve the convergence of nonparametric active contours |
| McWhirter, John |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.4 |
109 |
Broadband Angle of Arrival Estimation Methods in a Polynomial Matrix Decomposition Framework |
| Melo, Gabriela |
Geophysical Signal Processing.5 |
276 |
Seismic interferometry for sparse data: SVD-enhanced Green's function estimation |
| Meng, Zhaoshi |
Student Poster Competition.10 |
73 |
Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters |
| Distributed Statistical Inference.1 |
73 |
Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters |
| Michailidis, George |
Signal Processing in Social Networks.2 |
288 |
Discovery of Path-Important Nodes using Structured Semi-Nonnegative Matrix Factorization |
| Míguez, Joaquin |
Advances in Sequential Monte Carlo Methods.5 |
364 |
Particle filtering with transformed weights |
| Milenkovic, Olgica |
Signal Processing for Big Data.5 |
184 |
Gene Prioritization via Weighted Kendall Rank Aggregation |
| Miron, Sebastian |
Tensor-based Methods for Multi-Sensor Signal Processing.4 |
224 |
CANDECOMP/PARAFAC (CP) Direction Finding with Multi-Scale Array |
| Monga, Vishal |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.2 |
101 |
Constrained ML Estimation of Structured Covariance Matrices with Applications in Radar STAP |
| Monzon, Lucas |
Geophysical Signal Processing.1 |
260 |
A new inversion method for NMR signal processing |
| Moura, Jose |
Signal Processing in Social Networks.4 |
296 |
Distributed reinforcement learning in multi-agent networks |
| Mouri Sardarabadi, Ahmad |
Beamforming and Array Signal Processing.11 |
344 |
Constrained Imaging for Radio Astronomy |
| N A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Nadendla, Venkata Sriram Siddhardh |
Cognitive Radio and Radar Networks.2 |
444 |
A Bilateral-Market based Mechanism for Spectrum Allocation in Cognitive Radio Networks |
| Nannuru, Santosh |
Advances in Sequential Monte Carlo Methods.6 |
368 |
Particle filter implementation of the multi-Bernoulli filter for superpositional sensors |
| Nehorai, Arye |
Computational Advances in Array Processing I: Parameter Estimation and Decomposition Techniques.3 |
57 |
Source Number Detection with Nested Arrays and ULAs Using Jackknifing |
| Superresolution Sensing and Reconstruction.1 |
188 |
Wideband Direction of Arrival Estimation Using Nested Arrays |
| Sparse and Low-dimensional Signal Processing.4 |
248 |
Joint-sparse Recovery in Compressed Sensing with Dictionary Mismatch |
| Student Poster Competition.2 |
248 |
Joint-sparse Recovery in Compressed Sensing with Dictionary Mismatch |
| Estimation, Learning, and Optimization for the Smart Grids.1 |
460 |
Hybrid Energy Storage and Generation Planning with Large Renewable Penetration |
| Estimation, Learning, and Optimization for the Smart Grids.3 |
468 |
Distributed Demand Response for Plug-in Electrical Vehicles in the Smart Grid |
| Newstadt, Gregory |
Sparse and Low-dimensional Signal Processing.2 |
240 |
Adaptive Search for Sparse Dynamic Targets |
| Nguyen, Nam |
Superresolution Sensing and Reconstruction.6 |
208 |
Sparse image super-resolution via superset selection and pruning |
| Nicolau, Victor |
Beamforming and Array Signal Processing.3 |
312 |
Performance of TOA and FOA-based Localization for Cospas-Sarsat Search and Rescue Signals |
| Nitinawarat, Sirin |
Signal Processing for Big Data.3 |
177 |
Universal Multiple Outlier Hypothesis Testing |
| Nitzan, Eyal |
Beamforming and Array Signal Processing.2 |
308 |
Bayesian Cyclic Bounds for Periodic Parameter Estimation |
| Student Poster Competition.9 |
308 |
Bayesian Cyclic Bounds for Periodic Parameter Estimation |
| O A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Odom, Jonathan |
Beamforming and Array Signal Processing.6 |
324 |
Adaptive Beamforming with Augmentable Arrays in Non-Stationary Environments |
| Oselio, Brandon |
Signal Processing in Social Networks.1 |
284 |
Multi-layer graph analytics for social networks |
| Osherovich, Eliahyu |
Superresolution Sensing and Reconstruction.5 |
204 |
Sparsity based super-resolution in optical measurements |
| Ovarlez, Jean Philippe |
Student Poster Competition.6 |
161 |
False-alarm regulation for target detection in Hyperspectral Imaging |
| Multidimensional and Image Processing.4 |
161 |
False-alarm regulation for target detection in Hyperspectral Imaging |
| P A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Panahi, Ashkan |
Computational Advances in Array Processing I: Parameter Estimation and Decomposition Techniques.4 |
61 |
A Novel Method of DOA Tracking by Penalized Least Squares |
| Park, Joon-Young |
Radar Array Processing and STAP.1 |
396 |
Root-MUSIC Based Source Localization Using Transmit Array Interpolation in MIMO Radar With Arbitrary Planar Arrays |
| Pascal, Frederic |
Student Poster Competition.6 |
161 |
False-alarm regulation for target detection in Hyperspectral Imaging |
| Multidimensional and Image Processing.4 |
161 |
False-alarm regulation for target detection in Hyperspectral Imaging |
| Radar Array Processing and STAP.5 |
412 |
Multidimensional Low-Rank Filter based on the AU-HOSVD for MIMO STAP |
| Pequito, Sergio |
Signal and Information Processing in Energy Grids.1 |
416 |
A Framework for Actuator Placement in Large Scale Power Systems: Minimal Strong Structural Controllability |
| Pereyra, Marcelo |
Multidimensional and Image Processing.5 |
165 |
Exploiting information geometry to improve the convergence of nonparametric active contours |
| Petrut, Teodor |
Multidimensional and Image Processing.1 |
149 |
Ultrasound Testing of Metallic Structures using a Dual Symmetric Path Inspection and a Matched Filter-based Method |
| Poor, H. Vincent |
Signal Processing in Social Networks.4 |
296 |
Distributed reinforcement learning in multi-agent networks |
| Spectrum Sensing for Cognitive Radio Systems.1 |
372 |
Adaptive Block Sampling for Spectrum Sensing |
| Signal and Information Processing in Energy Grids.2 |
420 |
Dynamic Topology Adaptation for Distributed Estimation in Smart Grids |
| Popli, Nipun |
Signal and Information Processing in Energy Grids.1 |
416 |
A Framework for Actuator Placement in Large Scale Power Systems: Minimal Strong Structural Controllability |
| R A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Rabbat, Michael |
Distributed Statistical Inference.6 |
93 |
Performance Comparison of Randomized Gossip, Broadcast Gossip and Collection Tree Protocol for Distributed Averaging |
| Raisali, Fardad |
Signal Processing for Big Data.5 |
184 |
Gene Prioritization via Weighted Kendall Rank Aggregation |
| Rajan, Raj Thilak |
Student Poster Competition.5 |
125 |
Relative Velocity Estimation Using Multidimensional Scaling |
| Distributed and Sensor Networks.2 |
125 |
Relative Velocity Estimation Using Multidimensional Scaling |
| Rajaratnam, Bala |
Signal Processing for Big Data.1 |
169 |
Two-stage variable selection for molecular prediction of disease |
| Rangaswamy, Muralidhar |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.2 |
101 |
Constrained ML Estimation of Structured Covariance Matrices with Applications in Radar STAP |
| Rebeiz, Eric |
Spectrum Sensing for Cognitive Radio Systems.4 |
384 |
Cyclostationary Detection from Sub-Nyquist Samples for Cognitive Radios: Model Reconciliation |
| Student Poster Competition.8 |
384 |
Cyclostationary Detection from Sub-Nyquist Samples for Cognitive Radios: Model Reconciliation |
| Reeves, Galen |
New Sensing and Inference Methods for Large-Scale Data.5 |
17 |
Beyond Sparsity: Universally Stable Compressed Sensing when the number of `free' values is less than the number of observations |
| Ren, Guohua |
Distributed Statistical Inference.3 |
81 |
Distributed Sensor-Informative Tracking of Targets |
| Rey Vega, Leonardo |
Wireless Communications.3 |
484 |
Error Exponents for Bias Detection of a Correlated Process over a MAC Fading Channel |
| Reynolds, Matthew |
Geophysical Signal Processing.1 |
260 |
A new inversion method for NMR signal processing |
| Ribeiro, Alejandro |
Distributed Statistical Inference.4 |
85 |
Hierarchical Clustering and Consensus in Trust Networks |
| Ricci, Giuseppe |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).1 |
25 |
A multitarget range-azimuth tracker for maritime applications |
| Multidimensional and Image Processing.3 |
157 |
Bayesian Techniques for Edge Detection on Polarimetric SAR Images |
| Richard, Cédric |
Distributed and Sensor Networks.4 |
133 |
Learning a common dictionary over a sensor network |
| Distributed and Sensor Networks.5 |
137 |
Performance analysis of diffusion LMS in multitask networks |
| Roemer, Florian |
Tensor-based Methods for Multi-Sensor Signal Processing.1 |
212 |
Tensor subspace tracking via Kronecker structured projections (TeTraKron) |
| Beamforming and Array Signal Processing.4 |
316 |
Performance Analysis of ESPRIT-Type Algorithms for Strictly Non-Circular Sources Using Structured Least Squares |
| Romberg, Justin |
Superresolution Sensing and Reconstruction.2 |
192 |
Compressive Sampling in Array Processing |
| Romero, Daniel |
Cognitive Radio and Radar Networks.1 |
440 |
Compressive Angular and Frequency Periodogram Reconstruction for Multiband Signals |
| Routtenberg, Tirza |
Student Poster Competition.9 |
308 |
Bayesian Cyclic Bounds for Periodic Parameter Estimation |
| Beamforming and Array Signal Processing.2 |
308 |
Bayesian Cyclic Bounds for Periodic Parameter Estimation |
| Rowe, William |
Superresolution Sensing and Reconstruction.3 |
196 |
Sparse Iterative Adaptive Approach with Application to Source Localization |
| Roy, Venkat |
Beamforming and Array Signal Processing.10 |
340 |
Sparsity-Enforcing Sensor Selection for DOA Estimation |
| S A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Saligrama, Venkatesh |
Signal Processing for Big Data.2 |
173 |
Online Local Linear Classification |
| San Antonio, Geoffrey |
Radar Array Processing and STAP.2 |
400 |
Aperture Varying Autoregressive Covariance Modeling for 2D Oversampled Receive Arrays |
| Sarhan, Wagih |
Wireless Communications.1 |
476 |
Optimization of the Rate Adaptation Procedures in xDSL Systems |
| Sayed, Ali |
Spectrum Sensing for Cognitive Radio Systems.6 |
392 |
Distributed Spectrum Sensing in the Presence of Selfish Users |
| Scaglione, Anna |
Signal and Information Processing in Energy Grids.4 |
428 |
Advances in Decentralized State Estimation for Power Systems |
| Schizas, Ioannis |
Distributed Statistical Inference.3 |
81 |
Distributed Sensor-Informative Tracking of Targets |
| Schniter, Philip |
New Sensing and Inference Methods for Large-Scale Data.2 |
5 |
An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals |
| Student Poster Competition.4 |
5 |
An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals |
| Schoenecker, Steven |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).2 |
29 |
ML-PMHT Threshold Determination for False Track Probability Using Extreme-Value Analysis |
| Segarra, Santiago |
Distributed Statistical Inference.4 |
85 |
Hierarchical Clustering and Consensus in Trust Networks |
| Segev, Mordechai |
Superresolution Sensing and Reconstruction.5 |
204 |
Sparsity based super-resolution in optical measurements |
| Sgârciu, Valentin |
Multidimensional and Image Processing.1 |
149 |
Ultrasound Testing of Metallic Structures using a Dual Symmetric Path Inspection and a Matched Filter-based Method |
| Shaghaghi, Mahdi |
Computational Advances in Array Processing I: Parameter Estimation and Decomposition Techniques.2 |
53 |
Iterative root-MUSIC algorithm for DOA estimation |
| ShahbazPanahi, Shahram |
Beamforming and Array Signal Processing.9 |
336 |
Experimental Results of Compressive Sensing Based Imaging in Ultrasonic Non-Destructive Testing |
| Wireless Communications.7 |
500 |
Multi-Relay Network Design Using Power-Normalized SNR |
| Shechtman, Yoav |
Superresolution Sensing and Reconstruction.5 |
204 |
Sparsity based super-resolution in optical measurements |
| Sidorenko, Pavel |
Superresolution Sensing and Reconstruction.5 |
204 |
Sparsity based super-resolution in optical measurements |
| Simonetto, Andrea |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).4 |
37 |
Tracking Position and Orientation of a Mobile Rigid Body |
| Singhal, Kushagra |
Beamforming and Array Signal Processing.1 |
304 |
Robust Source Localization and Tracking using MUSIC-Group Delay Spectrum over Spherical Arrays |
| Sloin, Alba |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.6 |
117 |
Gaussian Graphical Models For Proper Quaternion Distributions |
| So, Hing Cheung |
Tensor-based Methods for Multi-Sensor Signal Processing.2 |
216 |
Iterative Prewhitening for Multidimensional Harmonic Retrieval: New Variants and Comparative Study |
| Sojoudi, Somayeh |
Signal and Information Processing in Energy Grids.3 |
424 |
Study of Nonlinear Power Optimization Problems using Algebraic Graph Theory |
| Song, Yang |
Tensor-based Methods for Multi-Sensor Signal Processing.4 |
224 |
CANDECOMP/PARAFAC (CP) Direction Finding with Multi-Scale Array |
| Sorensen, Mikael |
Tensor-based Methods for Multi-Sensor Signal Processing.5 |
228 |
Coupled Tensor Decompositions for Applications in Array Signal Processing |
| Steinwandt, Jens |
Beamforming and Array Signal Processing.4 |
316 |
Performance Analysis of ESPRIT-Type Algorithms for Strictly Non-Circular Sources Using Structured Least Squares |
| Student Poster Competition.7 |
496 |
Reduced-Complexity Distributed Beamforming Algorithm for Individual Relay Power Constraints |
| Wireless Communications.6 |
496 |
Reduced-Complexity Distributed Beamforming Algorithm for Individual Relay Power Constraints |
| Stoica, Petre |
Superresolution Sensing and Reconstruction.3 |
196 |
Sparse Iterative Adaptive Approach with Application to Source Localization |
| Sun, Hongbo |
Radar Array Processing and STAP.5 |
412 |
Multidimensional Low-Rank Filter based on the AU-HOSVD for MIMO STAP |
| Szameit, Alexander |
Superresolution Sensing and Reconstruction.5 |
204 |
Sparsity based super-resolution in optical measurements |
| T A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Taban, Mohammad Reza |
Radar Array Processing and STAP.4 |
408 |
Invariant Target Detection of MIMO Radar with Unknown Parameters |
| Tabrikian, Joseph |
Computational Advances in Array Processing I: Parameter Estimation and Decomposition Techniques.6 |
69 |
Adaptive Waveform Design for Target Enumeration in Cognitive Radar |
| Student Poster Competition.9 |
308 |
Bayesian Cyclic Bounds for Periodic Parameter Estimation |
| Beamforming and Array Signal Processing.2 |
308 |
Bayesian Cyclic Bounds for Periodic Parameter Estimation |
| Tadaion, Ali A. |
Radar Array Processing and STAP.4 |
408 |
Invariant Target Detection of MIMO Radar with Unknown Parameters |
| Tajer, Ali |
Spectrum Sensing for Cognitive Radio Systems.1 |
372 |
Adaptive Block Sampling for Spectrum Sensing |
| Takahashi, Norikazu |
Sparse and Low-dimensional Signal Processing.5 |
252 |
Boundedness of modified multiplicative updates for nonnegative matrix factorization |
| Takeuchi, Junichi |
Sparse and Low-dimensional Signal Processing.5 |
252 |
Boundedness of modified multiplicative updates for nonnegative matrix factorization |
| Tan, Zhao |
Student Poster Competition.2 |
248 |
Joint-sparse Recovery in Compressed Sensing with Dictionary Mismatch |
| Sparse and Low-dimensional Signal Processing.4 |
248 |
Joint-sparse Recovery in Compressed Sensing with Dictionary Mismatch |
| Estimation, Learning, and Optimization for the Smart Grids.3 |
468 |
Distributed Demand Response for Plug-in Electrical Vehicles in the Smart Grid |
| Tehrani, Pouya |
Distributed and Sensor Networks.7 |
145 |
Opportunistic Routing under Unknown Stochastic Models |
| Tourneret, Jean-Yves |
Beamforming and Array Signal Processing.3 |
312 |
Performance of TOA and FOA-based Localization for Cospas-Sarsat Search and Rescue Signals |
| Beamforming and Array Signal Processing.7 |
328 |
On an Iterative Method for Direction of Arrival Estimation using Multiple Frequencies |
| Trapeznikov, Kirill |
Signal Processing for Big Data.2 |
173 |
Online Local Linear Classification |
| Tsiligkaridis, Theodoros |
Computational Advances in Array Processing I: Parameter Estimation and Decomposition Techniques.5 |
65 |
Kronecker Sum Decompositions of Space-Time Data |
| V A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Valaee, Shahrokh |
Spectrum Sensing for Cognitive Radio Systems.2 |
376 |
Distributed Spectrum Sensing in Cognitive Radios via Graphical Models |
| van der Schaar, Mihaela |
Spectrum Sensing for Cognitive Radio Systems.6 |
392 |
Distributed Spectrum Sensing in the Presence of Selfish Users |
| van der Veen, Alle Jan |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).4 |
37 |
Tracking Position and Orientation of a Mobile Rigid Body |
| Distributed and Sensor Networks.2 |
125 |
Relative Velocity Estimation Using Multidimensional Scaling |
| Student Poster Competition.5 |
125 |
Relative Velocity Estimation Using Multidimensional Scaling |
| Beamforming and Array Signal Processing.11 |
344 |
Constrained Imaging for Radio Astronomy |
| Varshney, Pramod |
Cognitive Radio and Radar Networks.2 |
444 |
A Bilateral-Market based Mechanism for Spectrum Allocation in Cognitive Radio Networks |
| Vasile, Costin |
Multidimensional and Image Processing.1 |
149 |
Ultrasound Testing of Metallic Structures using a Dual Symmetric Path Inspection and a Matched Filter-based Method |
| Veeravalli, Venugopal |
Signal Processing for Big Data.3 |
177 |
Universal Multiple Outlier Hypothesis Testing |
| Venturino, Luca |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).6 |
45 |
A track-before-detect algorithm with successive track cancellation |
| Viberg, Mats |
Computational Advances in Array Processing I: Parameter Estimation and Decomposition Techniques.4 |
61 |
A Novel Method of DOA Tracking by Penalized Least Squares |
| Vila, Jeremy |
New Sensing and Inference Methods for Large-Scale Data.2 |
5 |
An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals |
| Student Poster Competition.4 |
5 |
An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals |
| Vincent, François |
Beamforming and Array Signal Processing.5 |
320 |
Approximate maximum likelihood direction of arrival estimation for two closely spaced sources |
| Vlachos, Evangelos |
Distributed Statistical Inference.2 |
77 |
A Decentralized Approach to Generalized Power System State Estimation |
| Vorobyov, Sergiy |
Computational Advances in Array Processing I: Parameter Estimation and Decomposition Techniques.2 |
53 |
Iterative root-MUSIC algorithm for DOA estimation |
| Radar Array Processing and STAP.1 |
396 |
Root-MUSIC Based Source Localization Using Transmit Array Interpolation in MIMO Radar With Arbitrary Planar Arrays |
| Vrabie, Valeriu |
Geophysical Signal Processing.2 |
264 |
Source Separation and Distributed Sensing: the Key for an Efficient Monitoring |
| W A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Wang, Joe |
Signal Processing for Big Data.2 |
173 |
Online Local Linear Classification |
| Wang, Pu |
Geophysical Signal Processing.3 |
268 |
Broadband Dispersion Extraction of Borehole Acoustic Modes via Sparse Bayesian Learning |
| Wang, Tian |
Signal Processing in Social Networks.5 |
300 |
Control and Prediction of Beliefs on Social Network |
| Wang, Xiaodong |
Signal and Information Processing in Energy Grids.5 |
432 |
Monitoring Disturbances in Smart Grids Using Distributed Sequential Change Detection |
| Wei, Dennis |
Student Poster Competition.10 |
73 |
Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters |
| Distributed Statistical Inference.1 |
73 |
Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters |
| Sparse and Low-dimensional Signal Processing.2 |
240 |
Adaptive Search for Sparse Dynamic Targets |
| Weiss, Stephan |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.4 |
109 |
Broadband Angle of Arrival Estimation Methods in a Polynomial Matrix Decomposition Framework |
| Beamforming and Array Signal Processing.8 |
332 |
Filter Bank Based Fractional Delay Filter Implementation for Widely Accurate Broadband Steering Vectors |
| Wendt, Herwig |
Beamforming and Array Signal Processing.7 |
328 |
On an Iterative Method for Direction of Arrival Estimation using Multiple Frequencies |
| Werner, Stefan |
Distributed Statistical Inference.5 |
89 |
Partial-Diffusion Recursive Least-Squares Estimation Over Adaptive Networks |
| Estimation, Learning, and Optimization for the Smart Grids.2 |
464 |
Estimating Frequency of Three-Phase Power Systems via Widely-Linear Modeling and Total Least-Squares |
| Wiesel, Ami |
Student Poster Competition.10 |
73 |
Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters |
| Distributed Statistical Inference.1 |
73 |
Marginal Likelihoods for Distributed Estimation of Graphical Model Parameters |
| Computational Advances in Array Processing II: Adaptive Beamforming and Radar.6 |
117 |
Gaussian Graphical Models For Proper Quaternion Distributions |
| Willett, Peter |
Track-Before-Detect (TBD) and Multi-Frame Detection (MFD).2 |
29 |
ML-PMHT Threshold Determination for False Track Probability Using Extreme-Value Analysis |
| Wong, Kainam |
Tensor-based Methods for Multi-Sensor Signal Processing.4 |
224 |
CANDECOMP/PARAFAC (CP) Direction Finding with Multi-Scale Array |
| Wright, Stephen |
New Sensing and Inference Methods for Large-Scale Data.1 |
1 |
On GROUSE and Incremental SVD |
| Wu, Yihong |
Signal Processing for Big Data.4 |
181 |
Recent Results on Sparse Principle Component Analysis |
| X A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Xu, Songcen |
Signal and Information Processing in Energy Grids.2 |
420 |
Dynamic Topology Adaptation for Distributed Estimation in Smart Grids |
| Y A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Yahya soltani, Nasim |
Signal and Information Processing in Energy Grids.6 |
436 |
Online Learning of Load Elasticity for Electric Vehicle Charging |
| Yang, Peng |
Student Poster Competition.2 |
248 |
Joint-sparse Recovery in Compressed Sensing with Dictionary Mismatch |
| Sparse and Low-dimensional Signal Processing.4 |
248 |
Joint-sparse Recovery in Compressed Sensing with Dictionary Mismatch |
| Estimation, Learning, and Optimization for the Smart Grids.1 |
460 |
Hybrid Energy Storage and Generation Planning with Large Renewable Penetration |
| Estimation, Learning, and Optimization for the Smart Grids.3 |
468 |
Distributed Demand Response for Plug-in Electrical Vehicles in the Smart Grid |
| Yarman, Evren |
Geophysical Signal Processing.1 |
260 |
A new inversion method for NMR signal processing |
| Yin, Feng |
Distributed and Sensor Networks.1 |
121 |
RSS-Based Sensor Network Localization in Contaminated Gaussian Measurement Noise |
| Student Poster Competition.3 |
121 |
RSS-Based Sensor Network Localization in Contaminated Gaussian Measurement Noise |
| Yoon, Yeo-Sun |
Radar Array Processing and STAP.1 |
396 |
Root-MUSIC Based Source Localization Using Transmit Array Interpolation in MIMO Radar With Arbitrary Planar Arrays |
| Yu, Chung-Kai |
Spectrum Sensing for Cognitive Radio Systems.6 |
392 |
Distributed Spectrum Sensing in the Presence of Selfish Users |
| Yu, Jun Ye |
Distributed Statistical Inference.6 |
93 |
Performance Comparison of Randomized Gossip, Broadcast Gossip and Collection Tree Protocol for Distributed Averaging |
| Z A B C D E F G H I J K L M N O P R S T V W X Y Z |
| Zachariah, Dave |
Computational Advances in Array Processing II: Adaptive Beamforming and Radar.1 |
97 |
Enhanced Capon Beamformer Using Regularized Covariance Matching |
| Zhang, Yimin |
Radar Array Processing and STAP.3 |
404 |
DOA Estimation Using a Sparse Uniform Linear Array with Two CW Signals of Co-prime Frequencies |
| Zhao, Qing |
Distributed and Sensor Networks.7 |
145 |
Opportunistic Routing under Unknown Stochastic Models |
| Zoubir, Abdelhak |
Distributed and Sensor Networks.1 |
121 |
RSS-Based Sensor Network Localization in Contaminated Gaussian Measurement Noise |
| Student Poster Competition.3 |
121 |
RSS-Based Sensor Network Localization in Contaminated Gaussian Measurement Noise |
