DocumentCode
3240389
Title
Blind source separation using time-frequency concepts
Author
Fahmy, M.F. ; Amin, Osama M H ; Hasan, Yassin M Y ; El-Raheem, G.M.
Author_Institution
Electr. Eng. Dept., Assiut Univ., Egypt
fYear
2004
fDate
18-21 Dec. 2004
Firstpage
250
Lastpage
253
Abstract
In this paper two methods are described for blind signal separation (BSS) based on time frequency distributions TFDs of the received mixed signals. Consequently, they are most suitable to deal with nonstationary mixed signals. The first method determines the decoupling system through setting to zero coefficients of the ambiguity function of the received mixed signals at the edges of its distribution plane. Computations have revealed that this approach is only successful when their TFD signatures, are partially overlapped When the TFD signatures are highly overlapped, an alternate approach is described that determines the elements of the decoupling system through decorrelating the respective rows of the received TFD data matrices. Illustrative examples are given showing that the proposed approaches work when other approaches based on higher order statistics HOS fail to yield satisfactory results.
Keywords
blind source separation; higher order statistics; time-frequency analysis; BSS; HOS; TFD; ambiguity function; blind signal separation; decoupling system; higher order statistics; nonstationary mixed signal; time frequency distribution; Biomedical signal processing; Blind source separation; Computational complexity; Covariance matrix; Decorrelation; Higher order statistics; Maximum likelihood detection; Noise cancellation; Source separation; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on
Print_ISBN
0-7803-8689-2
Type
conf
DOI
10.1109/ISSPIT.2004.1433733
Filename
1433733
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