Abstract
An iterative separation approach, i.e. source signals are extracted and removed one by one, is proposed for multichannel blind deconvolution of colored signals. Each source signal is extracted in two stages: a filtered version of the source signal is first obtained by solving the generalized eigenvalue problem, which is then followed by a single channel blind deconvolution based on ensemble learning. Simulation demonstrates the capability of the approach to perform efficient mutichannel blind deconvolution.
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References
P. Georgiev, A. Cichocki, Multichannel blind deconvolution of colored signals via eigenvalue decomposition, ICASSP, Salt Lake City, USA, 2001, 273–276.
J. K. Tugnait, Adaptive blind separation of convolutive mixtures of independent linear signals, Signal Processing, 73(1999)1–2, 139–152.
Chunqi Chang, Zhi Ding, Sze Fong Yau, F. Chan, A matrix-pencil approach to blind separation of colored nonstationary signals, IEEE Trans. on Signal Processing, 48(2000)3, 900–907.
J. Miskin, D. MacKay, Ensemble Learning for Blind Source Separation, in Independent Component Analysis: Principles and Practice, S. J. Roberts, et al., Eds., Cambridge: Cambridge University Press, 2001, 209–233.
R. Choudrey, W. D. Penny, S. J. Roberts, An ensemble learning approach to independent component analysis, IEEE Workshop on Neural Networks for Signal Processing, Sydney, Australia, December 2000.
S. Cruces-Alvarez, A. Cichocki, L. Castedo-Ribas, An iterative inversion approach to blind source separation, IEEE Trans. on Neural Networks, 11(2000)6, 1423–1437.
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Supported by the National Natural Science Foundation of China (No.60072048), and the Doctoral Program Fund (No.20010561007)
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Zhang, M., Wei, G. Iterative multichannel blind deconvolution method for temporally colored sources. J. of Electron.(China) 21, 243–248 (2004). https://doi.org/10.1007/BF02687878
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DOI: https://doi.org/10.1007/BF02687878