IEEE TRANSACTIONS ON
SIGNAL PROCESSING
A PUBLICATION OF THE IEEE SIGNAL PROCESSING SOCIETY
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-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 |
| 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-FAST | Fast algorithms for digital signal processing |
| DSP-FILT | Filter design and structures |
| DSP-MULT | Multirate processing and multiresolution methods |
| DSP-QUAN | Quantization effects and roundoff analysis |
| DSP-RECO | Signal reconstruction |
| DSP-SAMP | Sampling, extrapolation, and interpolation |
| DSP-TFSR | Time-frequency analysis and signal representation |
| DSP-WAVL | Wavelets theory and applications |
| HDW | IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS |
|---|---|
| HDW-AAOP | Algorithm and architecture co-optimization |
| HDW-COMP | Compilers and tools for DSP implementation |
| HDW-HDSP | DSP algorithm implementation in hardware and software |
| HDW-LPWR | Low-power signal processing techniques and architectures |
| HDW-SOCP | System-on-chip architectures 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 | Applications of machine learning |
| MLR-BAYL | Bayesian learning; Bayesian signal processing |
| MLR-COGP | Cognitive information processing |
| MLR-GRKN | Graphical and kernel methods |
| MLR-ICAN | Independent component analysis |
| MLR-INFO | Information-theoretic learning |
| MLR-LEAR | Learning theory and algorithms |
| MLR-NNLR | Neural network learning |
| MLR-PATT | Pattern recognition and classification |
| MLR-PERF | Bounds on performance |
| MLR-SLER | Sequential learning; sequential decision methods |
| MLR-SSEP | Source separation |
| MLT | MULTIMEDIA SIGNAL PROCESSING |
|---|---|
| MLT-APPL | Applications of multimedia signal processing |
| MLT-HMCH | Human-machine interfaces |
| MLT-INTL | Intelligent multimedia processing |
| MLT-MVIS | Machine vision |
| MSP | MIMO COMMUNICATIONS AND SIGNAL PROCESSING |
|---|---|
| MSP-APPL | Applications of MIMO communications and signal processing |
| MSP-CAPC | MIMO capacity and performance |
| MSP-CEST | MIMO channel estimation and equalization |
| MSP-CMOD | MIMO channel modeling |
| MSP-CODR | MIMO precoder/decoder design |
| MSP-DECD | MSP-MULT |
| MSP-STCD | MIMO space-time coding and capacity |
| NSP | NONLINEAR SIGNAL PROCESSING |
|---|---|
| NSP-APPL | Applications of nonlinear signal processing |
| NSP-CHAO | Chaotic and fractal signals and systems |
| NSP-MEDF | Rank-order and median filters |
| NSP-MRPH | Morphological signal and system analysis |
| NSP-NLIN | Nonlinear signals and systems |
| NSP-NSID | Nonlinear system identification; linearization |
| NSP-POLY | Polynomial signal processing |
| NSP-RAND | Nonlinear random process models |
| OTH | OTHER AREAS AND APPLICATIONS |
|---|---|
| OTH-EMRG | Emerging techniques |
| OTH-INDS | Industry technology |
| OTH-SPRE | Signal processing education |
| SAM | SENSOR ARRAY AND MULTICHANNEL PROCESSING |
|---|---|
| SAM-APPL | Applications of sensor & array multichannel processing |
| SAM-BEAM | Beamforming |
| SAM-CALB | Array calibration |
| SAM-DOAE | Direction of arrival estimation and source |
| 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-RADR | Radar signal processing |
| SAM-SDET | Source detection |
| SAM-SENS | Remote sensing of the environment |
| SAM-SONR | Sonar signal processing |
| SAM-STAP | Space-time adaptive methods |
| SAM-SYAM | Synthetic aperture methods |
| SEN | SIGNAL PROCESSING FOR SENSOR NETWORKS |
|---|---|
| SEN-APPL | Applications of sensor networks |
| SEN-ASAL | Adaptive sensing algorithms |
| SEN-COLB | Collaborative signal processing |
| SEN-DCON | Distributed control and feedback mechanisms |
| SEN-DCSC | Distributed channel and source coding |
| SEN-DIST | Distributed signal processing |
| SEN-FUSE | Data fusion from multiple sensors |
| SEN-INFO | Information-theoretic studies |
| SEN-LOCL | Source localization in sensor networks |
| SEN-PCON | Power control algorithms |
| SPC | SIGNAL PROCESSING FOR COMMUNICATIONS |
|---|---|
| SPC-APPL | Applications involving signal process. for communications |
| SPC-BBND | Broadband and packet switched networks |
| SPC-BLND | Blind/semiblind estimation and equalization |
| SPC-CEST | Channel estimation and equalization |
| SPC-CMOD | Channel characterization and modeling |
| SPC-CODC | Signal representation, coding and compression |
| SPC-DETC | Detection, estimation, and demodulation |
| SPC-INTF | Applications of sensor networks |
| SPC-MODL | Modulation and encoding |
| SPC-MULT | Multi-carrier, OFDM, and DMT communications |
| SPC-PERF | Performance analysis and bounds |
| SPC-QUAN | Scalar and vector quantization |
| SPC-SPRD | CDMA and spread spectrum communications |
| SPC-STCD | Space-time coding, design, and analysis |
| SPC-SYNC | Acquisition, synchronization and tracking |
| SPC-TDLS | Telephone networks & digital subscriber loops |
| SPC-UWBC | Ultra wideband communications |
| SSP | STATISTICAL SIGNAL PROCESSING |
|---|---|
| SSP-APPL | Applications of statistical signal processing techniques |
| 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-REST | Signal restoration |
| SSP-SNMD | Signal and noise modeling |
| SSP-SPEC | Spectral analysis and spectral estimation |
| SSP-SSAN | Statistical signal analysis |
| SSP-SSEP | Signal separation |
| SSP-SYSM | System modeling |
| SSP-TRAC | Tracking algorithms |
| WIN | SIGNAL PROCESSING FOR WIRELESS NETWORKS |
|---|---|
| WIN-ADHC | Ad-hoc wireless networks |
| WIN-APPL | Applications involving signal processing for wireless networks |
| WIN-CLRD | Cross-layer design |
| WIN-CONT | Cooperative networking |
| WIN-INFO | Information-theoretic studies |
| WIN-PHYL | Physical layer issues |
| WIN-RSMG | Resource management issues |
| WIN-SQUE | Scheduling and queuing protocols |
| WIN-SYLO | System level optimization |
