Blind separation of nonstationary sources in noisy mixtures

S. Choi, A. Cichocki

Research output: Contribution to journalArticlepeer-review

96 Citations (Scopus)

Abstract

A new method of blind source separation is presented that is not sensitive to additive white noise. The method exploits the nonstationarity and temporal structure of sources. The method only requires multiple time-delayed correlation matrices of the observed data at several different time-windowed data frames to estimate the mixing matrix. The implementation using joint diagonalisation (JD) is described. Simulations verify the high performance of the proposed method, especially in a low SNR environment.

Original languageEnglish
Pages (from-to)848-849
Number of pages2
JournalElectronics Letters
Volume36
Issue number9
DOIs
Publication statusPublished - 27 Apr 2000
Externally publishedYes

Fingerprint

Dive into the research topics of 'Blind separation of nonstationary sources in noisy mixtures'. Together they form a unique fingerprint.

Cite this