Blind source separation of convolutional mixtures

Jun Wang, Zhenya He

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The problem of blind source separation of convolutional mixtures is considered. A class of criteria, which state sufficient conditions for identification and separation, have been proved. Computational efficient algorithms are also developed to implement these criteria. The validity of the criterion and the efficiency of the algorithm are verified by simulations.

Original languageEnglish
Pages (from-to)7-11
Number of pages5
JournalTien Tzu Hsueh Pao/Acta Electronica Sinica
Volume25
Issue number7
Publication statusPublished - 1997
Externally publishedYes

Fingerprint

Dive into the research topics of 'Blind source separation of convolutional mixtures'. Together they form a unique fingerprint.

Cite this