论文信息 - Contrasts for multichannel blind deconvolution

Contrasts for multichannel blind deconvolution

A class of optimization criteria is proposed whose maximization allows us to carry out blind multichannel deconvolution in the presence of additive noise. Contrasts presented in the paper encompass those related to source separation and independent component analysis problems.

P. Comon | P. Comon

[1] J. Cardoso,et al. Blind beamforming for non-gaussian signals , 1993 .

[2] Ananthram Swami,et al. Multichannel ARMA processes , 1994, IEEE Trans. Signal Process..

[3] Inbar Fijalkow,et al. Identification of rank one rational spectral densities from noisy observations: a stochastic realization approach , 1995 .

[4] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..

[5] Eric Moulines,et al. Subspace methods for the blind identification of multichannel FIR filters , 1995, IEEE Trans. Signal Process..

[6] Pierre Comon,et al. Decomposition of quantics in sums of powers of linear forms , 1996, Signal Process..

[7] Ehud Weinstein,et al. Criteria for multichannel signal separation , 1994, IEEE Trans. Signal Process..