2-D system identification from bispectrum samples

A. David Salvia, Hector M. Valenzuela

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

1 Scopus citations


In this paper we consider the problem of modeling 2-D system transfer functions given only bispectrum samples of the noisy output. This identification procedure is a three step process. First, the output bispectrum samples are calculated along a 2-D "slice" in the 4-D bispectrum frequency region. Next, these samples are used to obtain a rational model of the bispectrum slice via a 2-D divided difference approach. Finally, we develop two methods for finding the underlying system transfer function parameters bom this rational model. This system identification procedure is general in that it does not impose causality, recursibility, or minimum phase restrictions on the system to be identified.

Original languageEnglish (US)
Title of host publicationICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)0780305329
StatePublished - 1992
Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
Duration: Mar 23 1992Mar 26 1992

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149


Other1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
Country/TerritoryUnited States
CitySan Francisco

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


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