Allpass vs. unit-norm constraints in contrast-based blind deconvolution

Scott C. Douglas, S. Y. Kung

Research output: Contribution to conferencePaper

2 Scopus citations

Abstract

Many contrast-based independent component analysis (ICA) algorithms can be directly applied to single-channel blind deconvolution tasks without modification. For prewhitened signals, however, an allpass constraint on the filter impulse response is more appropriate than a unit-norm constraint. In this paper, we show how a finite-impulse-response filter can be adapted to maximize or minimize an arbitrary contrast function while approximately maintaining an allpass characteristic in a self-stabilizing fashion. Both on-line time domain and block-based frequency domain algorithms are described. Simulations verify the superior performance behaviors of the new algorithms over those of standard ICA algorithms in prewhitened blind deconvolution tasks.

Original languageEnglish (US)
Pages273-282
Number of pages10
StatePublished - Dec 1 1999
Externally publishedYes
EventProceedings of the 1999 9th IEEE Workshop on Neural Networks for Signal Processing (NNSP'99) - Madison, WI, USA
Duration: Aug 23 1999Aug 25 1999

Other

OtherProceedings of the 1999 9th IEEE Workshop on Neural Networks for Signal Processing (NNSP'99)
CityMadison, WI, USA
Period8/23/998/25/99

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

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    Douglas, S. C., & Kung, S. Y. (1999). Allpass vs. unit-norm constraints in contrast-based blind deconvolution. 273-282. Paper presented at Proceedings of the 1999 9th IEEE Workshop on Neural Networks for Signal Processing (NNSP'99), Madison, WI, USA, .