FFT-based algorithm for multichannel blind deconvolution

Marcel Joho, Heinz Mathis, George S. Moschytz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

A new update equation for the general multichannel blind deconvolution (MCBD) of a convolved mixture of source signals is derived. It is based on the update equation for blind source separation (BSS), which has been shown to be an alternative interpretation of the natural gradient applied to the minimization of some mutual information criterion. Computational complexity is held at a minimum by carrying out the separation/equalization task in the frequency domain. The algorithm is compared to similar known blind algorithms and its validity is demonstrated by simulations of real-world acoustic filters. In order to assess the performance of the algorithm, performance measures for multichannel blind deconvolution of signals are given in the paper.

Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PagesIII-203 - III-206
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 IEEE International Symposium on Circuits and Systems, ISCAS '99 - Orlando, FL, USA
Duration: 30 May 19992 Jun 1999

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume3
ISSN (Print)0271-4310

Conference

ConferenceProceedings of the 1999 IEEE International Symposium on Circuits and Systems, ISCAS '99
CityOrlando, FL, USA
Period30/05/992/06/99

Fingerprint

Dive into the research topics of 'FFT-based algorithm for multichannel blind deconvolution'. Together they form a unique fingerprint.

Cite this