A highly modular normalized adaptive lattice algorithm for multichannel least squares filtering

George-Othon Glentis*, Cornelis H. Slump

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)
    36 Downloads (Pure)

    Abstract

    In this paper a highly modular normalized adaptive lattice algorithm for multichannel Least Squares FIR filtering and multivariable system identification, is presented. Multichannel filters with different number of delay elements per input channel are allowed. The main features of the proposed multichannel adaptive lattice least squares algorithm is the use of scalar only operations, multiplications/divisions and square roots, and the local communication which enables the development of a fully pipelinable architecture.

    Original languageEnglish
    Title of host publicationICASSP '95
    Subtitle of host publicationproceedings 1995 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 9-12, 1995, Detroit, Michigan
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Pages1420-1423
    Number of pages4
    Volume2
    ISBN (Print)0-7803-2431-5
    DOIs
    Publication statusPublished - 1995
    Event20th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1995 - Detroit, United States
    Duration: 8 May 199512 May 1995
    Conference number: 20

    Publication series

    NameProceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    PublisherIEEE
    Volume1995
    ISSN (Print)0736-7791

    Other

    Other20th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1995
    Abbreviated titleICASSP
    CountryUnited States
    CityDetroit
    Period8/05/9512/05/95

    Keywords

    • Filter coefficient
    • Multichannel least square filtering
    • Multivariable system identification
    • Normalized adaptive lattice algorithm
    • Response signal

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