IEEE Transactions on Signal Processing

EDICS

NAME DESCRIPTION
ASP ADAPTIVE SIGNAL PROCESSING
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
BIO-APPL Applications of biomedical signal processing
BIO-BCI Brain/human-computer interfaces
BIO-BIOM Biological modeling
BIO-GENO Genomics/proteomics signal processing
BIO-INFR Bioinformatics
BIO-LSCI Life sciences signal processing
BIO-MAID Signal processing methods for medical aids
BIO-MDIG Medical diagnostic methods
BIO-SENS Sensor arrays for medical signal and image processing
BIO-SPMB Spectral methods for biosignals
DIS DESIGN AND IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS
DIS-AAOP Algorithm and architecture co-optimization
DIS-COMP Compilers and tools for DSP implementation
DIS-HDSP DSP algorithm implementation in hardware and software
DIS-LPWR Low-power signal processing techniques and architectures
DIS-MLTC Signal processing on multicore processors
DIS-SOCP System-on-chip architectures for signal processing
DSP DIGITAL AND MULTIRATE SIGNAL PROCESSING
DSP-ALGO Algorithm analysis
DSP-APPL Applications of digital and multirate signal processing
DSP-BANK Filter bank design and theory
DSP-CPSL Compressive and nonuniform sampling
DSP-FAST Fast algorithms for digital signal processing
DSP-MULT Multirate processing and multiresolution methods
DSP-RECO Algorithms for signal filtering, restoration, enhancement, and reconstruction
DSP-SAMP Sampling, extrapolation, and interpolation
DSP-TFSR Time-frequency analysis and signal representation
DSP-TRSF Transforms for signal processing
MDS MULTIDIMENSIONAL SIGNAL PROCESSING
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
MLR-APPL Other applications of machine learning
MLR-BAYL Bayesian learning; Bayesian signal processing
MLR-COGP Cognitive information processing
MLR-DEEP Deep learning techniques
MLR-DICT Dictionary learning
MLR-GRKN Graphical and kernel methods
MLR-ICAN Independent component analysis
MLR-INFO Information-theoretic learning
MLR-LEAR Learning theory and algorithms
MLR-MUSI Applications in Music and Audio Processing
MLR-PATT 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-SYSB Applications in Systems Biology
NEG SIGNAL PROCESSING FOR NETWORKS and GRAPHS
NEG-ADHC Ad-hoc wireless networks
NEG-ADLE Adaptation and learning over graphs
NEG-APPL Applications of sensor networks
NEG-ASAL Adaptive sensing algorithms
NEG-CLRD Cross-layer design
NEG-ENGY Energy efficient sensor network algorithms
NEG-FUSE Data fusion from multiple sensors
NEG-GRAN Graph analysis for signal processing
NEG-INFO Information-theoretic studies
NEG-LOCL Source localization in sensor networks
NEG-LRNM Learning models and methods
NEG-PHYL Physical layer issues
NEG-RSMG Resource management issues
NEG-SAMP Sampling over graphs
NEG-SPGR Signal processing over graphs (filtering, transforms, etc)
NEG-SPGT Spectral graph theory and algebraic topology algorithms
NEG-SPRS Sparse SP methods for networks and graphs
NEG-SQUE Scheduling and queuing protocols
NEG-SYLO System level optimization
OPT OPTIMIZATION METHODS FOR SIGNAL PROCESSING
OPT-CVXR Convex optimization and relaxation for SP
OPT-DOPT Distributed optimization for SP
OPT-GMTY Game theory solutions for SP
OPT-INTP Integer programming techniques for SP
OPT-NCVX Non-convex methods for SP
OPT-SOPT Sparse optimization techniques for SP
OTH OTHER AREAS AND APPLICATIONS
OTH-BGDT Big Data
OTH-CPSY Cyber-physical systems
OTH-EMRG Emerging techniques
OTH-FENG Financial engineering
OTH-INDS Industry technology
OTH-DFNS Defense security
OTH-NSP Nonlinear signal processing
OTH-SPRE Signal processing education
RAS RADAR AND SONAR SIGNAL PROCESSING
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-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
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-MCHA Multichannel 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
SPC SIGNAL PROCESSING FOR COMMUNICATIONS
SPC-APPL Applications involving signal process. for communications
SPC-CAPC MIMO capacity and performance
SPC-CEST Channel estimation and equalization
SPC-CMOD Channel characterization and modeling
SPC-CMPR Signal representation, coding and compression
SPC-COMP Compensation of front end components
SPC-DECD MIMO detection
SPC-DETC Detection, estimation, and demodulation
SPC-DSLP Digital subscriber loops and powerline communication
SPC-INFO Information-theoretic studies
SPC-INTF Interference management techniques
SPC-MISG MIMO signalling
SPC-MODL Modulation and encoding
SPC-MULT Multi-carrier, OFDM, and DMT communications
SPC-PERF Performance analysis and bounds
SPC-PHYS Physical layer security
SPC-SPCT Signal processing for cognitive radios
SPC-SPRD CDMA and spread spectrum communications
SPC-SPRS Sparse SP techniques for communication
SPC-SYNC Acquisition, synchronization and tracking
SPC-UWBC Ultra wideband communications
SPE SIGNAL PROCESSING FOR ENGERGY AND POWER SYSTEMS
SPE-DETC Detection and estimation in power grid
SPE-DP Distributed processing and protocols in energy systems
SSP-F Demand, renewable generation, and price forecasting
SSP-M Signal and information processing for market operation
SSP-PS Privacy and security in smart grid
SSP STATISTICAL SIGNAL PROCESSING
SSP-APPL Applications of statistical signal processing techniques
SSP-CLAS Classification methods
SSP-CYCS Cyclostationary signal analysis
SSP-DDSP Data driven methods (bootstrap, MCMC, sequential and particle filtering)
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-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-SSEP Signal separation
SSP-SYSM System modeling
SSP-TRAC Tracking algorithms

SPS on Facebook

SPS on Twitter

SPS Videos


Multimedia Forensics

 


What is Signal Processing?      


ICASSP 2016-Opening Ceremony & Awards


Careers in Signal Processing