Convolutive blind signal separation by estimating mixing channels in time domain

Unlike conventional blind signal separation (BSS) methods estimating unmixing channels, an improved BSS method by estimating mixing channels in time domain is presented. Compared to the unmixing channels with IIR characteristics the mixing channels can be approximated by FIR filters with fewer time delays, and the proposed method demonstrates superior performance for the same training data.