Multichannel blind deconvolution of colored signals via eigenvalue decomposition

Pando Georgiev, Andrzej Cichocki

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

We prove that a MIMO (multiple input multiple output) blind deconvolution problem for n colored uncorrelated signals can be converted to n SIMO (single input multiple output) problems, using eigenvalue decomposition of a special covariance matrix, depending on L-dimensional parameter b, if appropriate covariance matrices have sets of eigenvalues with empty pairwise intersection. We present a suf£cient condition for this conversion and discuss how to £nd such parameters. We prove that the parameters b for which this is possible, form an open subset of IRL, whose complement has a Lebesgue measure zero.

Original languageEnglish
Pages273-276
Number of pages4
Publication statusPublished - 2001
Externally publishedYes
Event2001 IEEE Workshop on Statitical Signal Processing Proceedings - Singapore, Singapore
Duration: 6 Aug 20018 Aug 2001

Conference

Conference2001 IEEE Workshop on Statitical Signal Processing Proceedings
Country/TerritorySingapore
CitySingapore
Period6/08/018/08/01

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