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NAME | DESCRIPTION |
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ASP | ADAPTIVE SIGNAL PROCESSING |
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ASP-ANAL | Adaptive filter analysis and design |
ASP-APPL | Applications of adaptive filters |
ASP-FAST | Fast algorithms for adaptive filtering |
ASP-FREQ | Frequency-domain and subband adaptive filtering |
BIO | BIOMEDICAL SIGNAL PROCESSING |
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BIO-BCI | Brain/human-computer interfaces |
BIO-INFR | Bioinformatics |
BIO-NEU | Neural signals (central and peripheral nervous system) |
BIO-PHY | Physiological signal processing (e.g., EEG, ECG, EMG) |
DIS | DESIGN AND IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS |
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DIS-ARCH | Algorithm and architecture co-optimization |
DIS-PROG | Programmable Hardware (e.g. FPGA, SoC, ASIC and others) for DSP algorithms |
DIS-LPWR | Low-power signal processing techniques and architectures |
DIS-MLTC | Signal processing on multicore processors |
DIS-QUAN | Quantization |
DIS-SOCP | System-on-chip architectures for signal processing |
DIS-EMSA | Design and Implementation for emerging signal processing systems and applications |
SMDSP | SAMPLING, MULTIRATE SIGNAL PROCESSING AND DIGITAL SIGNAL PROCESSING |
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SMDSP-ALGO | Algorithm analysis |
SMDSP-APPL | Applications of digital and multirate signal processing |
SMDSP-ASAL | Adaptive sensing algorithms |
SMDSP-BANK | Filter bank design and theory |
SMDSP-CPSL | Compressive and nonuniform sampling |
SMDSP-FAST | Fast algorithms for digital signal processing |
SMDSP-MULT | Multirate processing and multiresolution methods |
SMDSP-QUAN | Quantization effects |
SMDSP-RECO | Algorithms for signal filtering, restoration, enhancement, and reconstruction |
SMDSP-SAMP | Sampling, extrapolation, and interpolation |
SMDSP-SAP | Sparsity-aware processing |
SMDSP-TFSR | Time-frequency analysis and signal representation |
SMDSP-TRSF | Transforms for signal processing |
MDS | MULTIDIMENSIONAL SIGNAL PROCESSING |
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MDS-ALGO | Algorithms and transforms |
MDS-APPL | Applications of multidimensional signal processing |
MDS-FILT | Filtering |
MDS-SMOD | Signal and system modeling & identification |
MDS-SPEC | Spectral estimation |
MLR | MACHINE LEARNING |
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MLR-APPL | Other applications of machine learning |
MLR-COGP | Cognitive information processing |
MLR-DEEP | Deep learning techniques |
MLR-DICT | Dictionary learning |
MLR-GKM | Graphical and kernel methods |
MLR-MFC | Matrix factorization/completion |
MLR-ICA | Independent component analysis |
MLR-INFO | Information-theoretic learning |
MLR-LEAR | Learning theory and algorithms |
MLR-LMM | Learning from multimodal data |
MLR-MUSAP | Applications in Music and Audio Processing |
MLR-PRCL | Pattern recognition and classification |
MLR-PERF | Bounds on performance |
MLR-SBML | Subspace and manifold learning |
MLR-SLER | Sequential learning; sequential decision methods |
MLR-SSEP | Source separation |
MLR-TNSR | Tensor-based signal processing |
SIPG | SIGNAL AND INFORMATION PROCESSING OVER GRAPHS |
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SIPG-ADLE | Adaptation and learning over graphs |
SIPG-GTOP | Graph learning and network topology inference |
SIPG-GRAN | Graph analysis for signal processing |
SIPG-INFO | Information-theoretic studies |
SIPG-LRNM | Learning models and methods |
SIPG-REP | Transforms, filtering, representation |
SIPG-SAMP | Sampling, interpolation, denoising and reconstruction |
SIPG-SPGT | Spectral graph theory and algebraic topology algorithms |
SIPG-SPRS | Sparse SP methods for networks and graphs |
SIPG-STOC | Stochastic Processes over graphs |
OPT | OPTIMIZATION METHODS FOR SIGNAL PROCESSING |
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OPT-CVXR | Convex optimization and relaxation for SP |
OPT-DOPT | Distributed optimization for SP |
OPT-GMTH | Game theory solutions for SP |
OPT-INTP | Integer programming techniques for SP |
OPT-NCVX | Non-convex methods for SP |
OPT-SPARSE | Sparse optimization techniques for SP |
OTH | OTHER AREAS AND APPLICATIONS |
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OTH-BGDT | Big Data |
OTH-CPSY | Cyber-physical systems |
OTH-EDU | Education |
OTH-EMRG | Emerging techniques |
OTH-FENG | Financial engineering |
OTH-IOT | Internet of things |
OTH-CC | Crowd computing |
OTH-QUAN | Quantum signal processing |
RAS | RADAR AND SONAR SIGNAL PROCESSING |
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RAS-CARD | Cognitive/fully adaptive radar processing |
RAS-CDSN | Code design: correlation properties, ambiguity function |
RAS-CLBR | Calibration |
RAS-DMMP | Distributed and MIMO radar/sonar processing |
RAS-DTCL | Target detection, classification |
RAS-IMFR | Radar image formation and reconstruction |
RAS-INFT | Information theoretic advances for radar and sonar |
RAS-LCLZ | Source localization |
RAS-MIMO | MIMO radar and waveform design |
RAS-PMBD | Performance measures and bounds |
RAS-PRSP | Passive radar signal processing |
RAS-RSMG | Resource management issues |
RAS-SARI | Synthetic aperture radar/sonar and imaging |
RAS-SONR | Sonar and underwater signal processing |
RAS-TRCK | Target tracking |
RAS-WVFM | Waveform agile radar (diversity and design) |
SAM | SENSOR ARRAY AND MULTICHANNEL PROCESSING |
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SAM-APPL | Applications of sensor & array multichannel processing |
SAM-BEAM | Beamforming |
SAM-CALB | Array calibration |
SAM-CSSM | Compressed sensing and sparse modeling |
SAM-DOAE | Direction of arrival estimation and source localization |
SAM-GSSP | Geophysical and seismic signal processing |
SAM-IMGA | Imaging with array data |
SAM-LRNM | Learning models and methods for multi-sensor systems |
SAM-MCHI | Multichannel processing, identification and modelling |
SAM-MAPR | Microphone array processing |
SAM-NWAV | Non-wave based array processing |
SAM-PERF | Performance analysis |
SAM-SDET | Source detection |
SAM-SENS | Remote sensing of the environment |
SAM-STAP | Space-time adaptive methods |
SAM-TNSR | Tensor-based signal processing |
SAM-MUCN | Multi-user and cooperative networks |
SAM-CAMS | Computational advances for multi-sensor systems |
SPC | SIGNAL PROCESSING FOR COMMUNICATIONS |
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SPC-APPL | Applications involving signal process. for communications |
SPC-CHAN | Channel characterization, modelling, estimation and equalization |
SPC-CMPR | Signal representation, coding and compression |
SPC-COMP | Compensation of front end components |
SPC-CROP | Cross-layer optimization |
SPC-DETC | Detection, estimation, and demodulation |
SPC-DMIMO | Distributed MIMO |
SPC-DSLP | Digital subscriber loops and powerline communication |
SPC-EAC | Energy Aware Communications |
SPC-INFO | Information-theoretic studies |
SPC-INTF | Interference management techniques |
SPC-MEPB | Modulation, pre-coding and beamforming |
SPC-ML | Machine learning for communications |
SPC-MIMO | Multiple-input multiple-output communication systems |
SPC-MMIMO | Massive MIMO communication systems |
SPC-MMTH | Millimeter-wave and terahertz communications |
SPC-MULT | Multi-carrier, OFDM, and DMT communications |
SPC-PERF | Performance analysis and bounds |
SPC-PHYS | Physical layer security |
SPC-RSRC | Scheduling and resource management |
SPC-SPCR | Signal processing for cognitive radios |
SPC-CDSS | CDMA and spread spectrum communications |
SPC-SPARCO | Sparse SP techniques for communication |
SPC-SYNC | Acquisition, synchronization and tracking |
SPC-UWBC | Ultra wideband communications |
SPEP | SIGNAL PROCESSING FOR ENERGY AND POWER SYSTEMS |
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SPEP-DETC | Detection and estimation in power grid |
SPEP-DP | Distributed processing and protocols in energy systems |
SPEP-F | Demand, renewable generation, and price forecasting |
SPEP-M | Signal and information processing for market operation |
SPEP-PS | Privacy and security in smart grid |
SSP | STATISTICAL SIGNAL PROCESSING |
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SSP-APPL | Applications of statistical signal processing techniques |
SSP-BSP | Bayesian signal processing |
SSP-CLAS | Classification methods |
SSP-CYCS | Cyclostationary signal analysis |
SSP-DECO | Deconvolution |
SSP-DETC | Detection |
SSP-FILT | Filtering |
SSP-HIER | Hierarchical models & tree structured signal processing |
SSP-HOSM | Higher-order statistical methods |
SSP-IDEN | System identification |
SSP-NGAU | Non-Gaussian signals and noise |
SSP-NPAR | Non-parametric methods |
SSP-NSSP | Nonstationary statistical signal processing |
SSP-PARE | Parameter estimation |
SSP-PERF | Performance analysis and bounds |
SSP-RSP | Robust signal processing |
SSP-REST | Signal restoration |
SSP-SNMD | Signal and noise modeling |
SSP-SPEC | Spectral analysis and spectral estimation |
SSP-SPRS | SP methods for structured low dimensional models |
SSP-SSAN | Statistical signal analysis |
SSP-SYSM | System modeling |
SSP-TRAC | Tracking algorithms |