Automated design of low complexity FIR filters

DW Redmill, DR Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

7 Citations (Scopus)
353 Downloads (Pure)

Abstract

This paper considers the design of low complexity FIR filters. Complexity is reduced by constraining the filters to have integer coefficients, which can be efficiently implemented using primitive operator directed graphs (PODG). Genetic algorithms (GAs) are used in conjunction with a heuristic graph design algorithm, to provide a solution set which represents different compromises between performance, complexity and filter order. Example results are presented for both one and two dimensional filters, and are shown to provide both superior performance and complexity, compared to previous methods. The main benefits result from the use of a joint optimization, rather than a separable 2-stage approach. The use of a PODG representation is shown to provide significant improvements over a canonic signed digit (CSD) or signed power-of-two (SPT) representation
Translated title of the contributionAutomated design of low complexity FIR filters
Original languageEnglish
Title of host publicationUnknown
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages429 - 432
Volume5
ISBN (Print)0780344553
DOIs
Publication statusPublished - May 1998
EventInternational Symposium on Circuits and Systems - Monterey, CA, United States
Duration: 1 May 1998 → …

Conference

ConferenceInternational Symposium on Circuits and Systems
Country/TerritoryUnited States
CityMonterey, CA
Period1/05/98 → …

Bibliographical note

Conference Proceedings/Title of Journal: Proc. IEEE Intl. Conference on Circuits and Systems, Monterey
Rose publication type: Conference contribution

Sponsorship: This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) grant number GRK25892

Terms of use: Copyright © 1998 IEEE. Reprinted from IEEE International Symposium on Circuits and Systems, 1998 (ISCAS '98).

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