DocumentCode
2668024
Title
Blind source separation using second-order cyclostationary statistics
Author
Abed-Meraim, Karim ; Xiang, Yong ; Hua, Yingbo
Author_Institution
Dept. TSI, ENST, Paris, France
fYear
1999
fDate
1999
Firstpage
321
Lastpage
326
Abstract
Blind source separation (BSS) is a fundamental problem in signal processing. This paper introduces new source separation techniques relying only on cyclostationary second-order statistics (SOS). The identifiability condition and several SOS-based separation criteria are presented for the cyclostationary sources. The corresponding algorithms are developed to achieve these criteria. Simulation results illustrate the performances of the proposed techniques
Keywords
gradient methods; higher order statistics; identification; signal detection; blind source separation; cyclostationary source; gradient method; identifiability condition; iterative method; second-order statistics; separation criteria; signal processing; Additive noise; Blind source separation; Frequency; Sensor arrays; Signal processing; Signal processing algorithms; Source separation; Statistics; Telecommunications; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Decision and Control, 1999. IDC 99. Proceedings. 1999
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-5256-4
Type
conf
DOI
10.1109/IDC.1999.754177
Filename
754177
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