Title :
Frequency-domain contrast functions for separation of convolutive mixtures
Author :
Pesquet, Jean-Christophe ; Chen, Binning ; Petropulu, Athina P.
Author_Institution :
Lab. Systemes de Commun., Univ. de Marne-la-Vallee, Marne la Vallee, France
Abstract :
This paper addresses the problem of blind separation of convolutive mixtures via contrast maximization. New frequency-domain contrast functions are constructed based on second and higher-order spectra of the observations. They allow one to separate mixtures of sources which are spatially independent, and temporally possibly non i.i.d. linear or non-linear processes. The proposed criteria provide a framework for extending to the convolutive case contrasts that have been proposed in the context of instantaneous mixtures
Keywords :
convolution; frequency-domain analysis; optimisation; signal processing; spectral analysis; blind separation; contrast maximization; convolutive mixtures separation; frequency-domain contrast functions; higher-order spectra; noni.i.d. nonlinear process; second order spectra; signal processing; spatially independent process; temporally noni.i.d. linear process; Biomedical engineering; Context; Error correction; Frequency division multiaccess; Frequency domain analysis; Frequency response; MIMO; Multiaccess communication; Redundancy; Seismology;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940219