Natural gradient multichannel blind deconvolution and source separation using causal FIR filters

Abstract

Practical gradient-based adaptive algorithms for multichannel blind deconvolution and convolutive blind source separation typically employ FIR filters for the separation system. Inadequate use of signal truncation within these algorithms can introduce steady-state biases into their converged solutions that lead to degraded separation and deconvolution… (More)
DOI: 10.1109/ICASSP.2004.1327151

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