Blind deconvolution of fir channels with binary sources: A grouping decision approach

Yuanqing Li, Andrzej Cichocki, Liqing Zhang

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

This paper proposes a novel grouping decision approach for blind deconvolution of FIR channels with binary sources. First, necessary and sufficient conditions for recoverability are derived. For single-input systems, a new deterministic algorithm based on grouping and decision is proposed to recover the source up to a delay. Then the algorithm is extended to deal with high noise case and long decaying channel case. Furthermore Blind deconvolution for multi-input systems also can be carried out as with the case of single input systems. All sources can be recovered sequentially. Finally, the validity and performance of the algorithms are illustrated by several simulation examples.

Original languageEnglish
Pages (from-to)289-292
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
Publication statusPublished - 2003
Externally publishedYes
Event2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: 6 Apr 200310 Apr 2003

Fingerprint

Dive into the research topics of 'Blind deconvolution of fir channels with binary sources: A grouping decision approach'. Together they form a unique fingerprint.

Cite this