Statistical sensitivity and minimum sensitivity structures of 2-D separable-denominator digital filters

Shumon Saito, Masayuki Kawamata

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

Abstract

This paper proposes a statistical sensitivity of 2-D separable-denominator digital filters using the state-space approach. The sensitivity in this paper is represented by the controllability and the observability gramians and the state covariance matrix of the filters. The minimum sensitivity structures can be synthesized by giving an assumption to simplify the sensitivities. Numerical examples show that the proposed sensitivity is in very good agreement with the actual output error variance, and that minimum statistical sensitivity structures have a very small degradation of the frequency characteristic due to coefficient quantization.

Original languageEnglish
Title of host publicationISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings
Pages501-504
Number of pages4
DOIs
Publication statusPublished - 2001 Dec 1
Event2001 IEEE International Symposium on Circuits and Systems, ISCAS 2001 - Sydney, NSW, Australia
Duration: 2001 May 62001 May 9

Publication series

NameISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings
Volume2

Other

Other2001 IEEE International Symposium on Circuits and Systems, ISCAS 2001
CountryAustralia
CitySydney, NSW
Period01/5/601/5/9

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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    Saito, S., & Kawamata, M. (2001). Statistical sensitivity and minimum sensitivity structures of 2-D separable-denominator digital filters. In ISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings (pp. 501-504). [921117] (ISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings; Vol. 2). https://doi.org/10.1109/ISCAS.2001.921117