Adaptive paraunitary filter banks for principal and minor subspace analysis

S. C. Douglas, S. Amari, S. Y. Kung

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations

Abstract

Paraunitary filter banks are important for several signal processing tasks. In this paper, we consider the task of adapting the coefficients of a multichannel FIR paraunitary filter bank via gradient ascent or descent on a chosen cost function. The proposed generalized algorithms inherently adapt the system's parameters in the space of paraunitary filters. Modifications and simplifications of the techniques for spatio-temporal principal and minor subspace analysis are described. Simulations verify one algorithm's useful behavior in this task.

Original languageEnglish (US)
Pages (from-to)1089-1092
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA
Duration: Mar 15 1999Mar 19 1999

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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