Publication | Closed Access
Highlights of statistical signal and array processing
66
Citations
0
References
1998
Year
RadarArray ProcessingSignal Processing SocietyStatistical Signal ProcessingEngineeringArray Signal ProcessingMultichannel Signal ProcessingSynthetic Aperture RadarMultidimensional Signal ProcessingComputer EngineeringSpectrum EstimationSystems EngineeringSpeech ProcessingMulti-channel ProcessingComputer ScienceSignal DetectionSignal ProcessingBiomedical Signal Analysis
The Statistical Signal and Array Processing Technical Committee focuses on random signals and arrays, combining solid theory and practical applications across spectrum estimation, statistical modeling, estimation/detection, time‑frequency analysis, system identification, channel modeling, multichannel filtering, source localization, and separation. The article reviews key developments in SSAP, offers extensive bibliographic pointers, and announces the recent reorganization of three Signal Processing Society technical committees. The review compiles nearly 500 references to guide readers through the field. The extensive bibliography demonstrates the field’s high activity within the signal processing community.
The Statistical Signal and Array Processing Technical Committee (SSAP-TC) deals with signals that are random and processes an array of signals simultaneously. The field of SSAP represents both solid theory and practical applications. Starting with research in spectrum estimation and statistical modeling, study in this field is always full of elegant mathematical tools such as statistical analysis and matrix theory. The area of statistical signal processing expands into estimation and detection algorithms, time-frequency domain analysis, system identification, and channel modeling and equalization. The area of array signal processing also extends into multichannel filtering, source localization and separation, and so on. This article represents an endeavor by the members of the SSAT-TC to review all the significant developments in the field of SSAP. To provide readers with pointers for further study of the field, this article includes a very impressive bibliography-close to 500 references are cited. This is just one of the indications that the field of statistical signals has been an extremely active one in the signal processing community. The article also introduces the recent reorganization of three technical committees of the Signal Processing Society.