Title :
Blind source separation using second-order cyclostationary statistics
Author :
Abed-Meraim, Karim ; Xiang, Yong ; Hua, Yingbo
Author_Institution :
Dept. TSI, ENST, Paris, France
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;
Conference_Titel :
Information, Decision and Control, 1999. IDC 99. Proceedings. 1999
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5256-4
DOI :
10.1109/IDC.1999.754177
