Title :
Blind Source Separation Based on Time-Domain Optimization of a Frequency-Domain Independence Criterion
Author :
Mei, Tiemin ; Xi, Jiangtao ; Yin, Fuliang ; Mertins, Alfred ; Chicharo, Joe F.
Author_Institution :
Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol.
Abstract :
A new technique for the blind separation of convolutive mixtures is proposed in this paper. Inspired by the works of Amari, Sabala , and Rahbar, we firstly start from the application of Kullback-Leibler divergence in frequency domain, and then we integrate Kullback-Leibler divergence over the whole frequency range of interest to yield a new objective function which turns out to be time-domain variable dependent. In other words, the objective function is derived in frequency domain which can be optimized with respect to time domain variables. The proposed technique has the advantages of frequency domain approaches and is suitable for very long mixing channels, but does not suffer from the local permutation problem as the separation is achieved in time-domain
Keywords :
blind source separation; optimisation; time-frequency analysis; Kullback-Leibler divergence; blind source separation; convolutive mixtures; frequency-domain independence criterion; time-domain optimization; Australia Council; Blind source separation; Educational programs; Frequency domain analysis; Information science; MIMO; Signal processing; Source separation; Telecommunication computing; Time domain analysis; Blind source separation (BSS); Kullback–Leibler divergence; convolutive mixtures; frequency domain; integrated objective function;
Journal_Title :
Audio, Speech, and Language Processing, IEEE Transactions on
DOI :
10.1109/TASL.2006.872623