Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution

Authors:
S. Choi;A. Cichocki;S. Amari
Affiliations:
Sch. of Electr. & Electron. Eng., Chungbuk Nat. Univ., South Korea;-;-
Venue:
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Year:
1999

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Abstract

We present and compare two different spatio-temporal decorrelation learning algorithms for updating the weights of a linear feedforward network with FIR synapses (MIMO FIR filter). Both standard gradient and the natural gradient are employed to derive the spatio-temporal decorrelation algorithms. These two algorithms are applied to multichannel blind deconvolution task and their performance is compared. The rigorous derivation of algorithms and computer simulation results are presented.