|
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-PROG
|
Programmable and reconfigurable DSP 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
|
MIMO space-time coding and decoding algorithms |
|
MSP-MULT
|
MIMO multi-user and multi-access schemes |
|
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
|
Interference suppression and rejection |
|
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 |
