Linear adaptive decorrelator for signal separation

CN Canagarajah, PJW Rayner

Research output: Contribution to journalArticle (Academic Journal)peer-review

1 Citation (Scopus)

Abstract

Signal separation is a problem often encountered in many practical applications. A novel technique is described that can guarantee signal separation by output decorrelation. In particular, it is shown that a simple transformation of the variables enables the nonlinear set of equations to be solved efficiently using the standard least squares technique. Moreover, the uniqueness of the solution is analytically determined and the system is shown to guarantee separation. The algorithm is modified to estimate the parameters adaptively, and the results clearly show the improved performance of this algorithm in separating two signals.
Translated title of the contributionLinear Adaptive Decorrelator for Signal Separation
Original languageEnglish
Pages (from-to)327 - 332
JournalIEE Proc. on Vision, Image and Signal Processing
Volume142
Issue number5
DOIs
Publication statusPublished - Oct 1995

Bibliographical note

Rose publication type: Journal article

Keywords

  • signal separation
  • decorrelation

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