Optimal design of 2-D IIR filters - Strictly proper case

Arnab K. Shaw, Pradeep Misra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

© 1992 IEEE. The problem of optimal design of a class of two-dimensional (2-D) digital infinite impulse response (IIR) filters from spatial impulse response data is addressed. The denominator of the desired strictly proper 2-D filter is assumed to be separable. The filter coefficients are iteratively estimated by maintaining the t2-norm of the error between the prescribed and the estimated spatial domain responses. The complete subspace orthogonal to the 2-D model fitting error is identified. It is shown that by appropriate choice of the orthogonal subspace, the exact fitting error criterion can be simultaneously optimized with respect to the coefficients in both dimensions. If the desired response is known to be symmetric, the proposed algorithm will produce optimal denominators which are identical in both domains. The performance of the algorithm is demonstrated with some simulation studies.

Original languageEnglish
Title of host publicationICASSP 1992
Subtitle of host publication1992 International Conference on Acoustics, Speech, and Signal Processing
PublisherIEEE
Pages333-336
Number of pages4
ISBN (Print)0-7803-0532-9
DOIs
StatePublished - Aug 6 2002
Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
Duration: Mar 23 1992Mar 26 1992

Conference

Conference1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
Country/TerritoryUnited States
CitySan Francisco
Period3/23/923/26/92

ASJC Scopus Subject Areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Keywords

  • IIR filters
  • Computer aided software engineering
  • Iterative algorithms
  • Digital filters
  • Algorithm design and analysis
  • Frequency estimation
  • Filtering
  • Optimization methods
  • Iterative methods
  • Vectors

Disciplines

  • Electrical and Computer Engineering

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