Hybrid learning approach to blind deconvolution of linear MIMO systems

S. Choi, A. Cichocki

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


A hybrid network is presented which performs blind deconvolutions of linear MIMO systems. The hybrid network consists of a feedforward network followed by a feedback network, where each of the synapses is represented by an FIR filter. The FIR synapses in the feedforward network are learned by a Godard cost based algorithm and the FIR synapses in the feedback network are updated by a spatio-temporal decorrelation algorithm so that different sources are recovered at different output nodes. An efficient spatio-temporal decorrelation algorithm based on the natural gradient is presented. The validity of the proposed method is confirmed by computer simulations.

Original languageEnglish
Pages (from-to)1429-1430
Number of pages2
JournalElectronics Letters
Issue number17
Publication statusPublished - 19 Aug 1999
Externally publishedYes


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