DocumentCode :
2685222
Title :
On the generalization of blind source separation algorithms from instantaneous to convolutive mixtures
Author :
Mei, Tiemin ; Mertins, Alfred ; Yin, Fuliang
Author_Institution :
Inst. for Signal Process., Univ. of Lubeck, Lubeck
fYear :
2008
fDate :
21-23 July 2008
Firstpage :
482
Lastpage :
486
Abstract :
Many convolutive blind source separation (BSS) approaches are generalized from instantaneous BSS methods in either time or frequency domain. In this paper, we establish in a general way the inner relationship between the time-domain instantaneous BSS and the frequency-domain convolutive BSS. From this point of view, the time-domain approaches for instantaneous mixture separation are generalized to those for convolutive mixture separation in the frequency domain. Two examples are given to illustrate the feasibility of the proposed approach.
Keywords :
blind source separation; convolution; convolutive blind source separation; instantaneous mixture separation; Biomedical signal processing; Blind source separation; Finite impulse response filter; Frequency domain analysis; Image processing; Information science; Signal processing; Signal processing algorithms; Source separation; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop, 2008. SAM 2008. 5th IEEE
Conference_Location :
Darmstadt
Print_ISBN :
978-1-4244-2240-1
Electronic_ISBN :
978-1-4244-2241-8
Type :
conf
DOI :
10.1109/SAM.2008.4606917
Filename :
4606917
Link To Document :
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