A highly modular adaptive lattice algorithm for multichannel least squares filtering

George-Othon Glentis, Nicholas Kalouptsidis

    Research output: Contribution to journalArticleAcademicpeer-review

    11 Citations (Scopus)
    80 Downloads (Pure)

    Abstract

    In this paper a highly modular 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 additions, and the local communication which enables the development of a fully pipelining architecture. The tracking capability and the numerical stability and accuracy of the proposed technique are illustrated by simulations.
    Original languageEnglish
    Pages (from-to)47-55
    Number of pages9
    JournalSignal processing
    Volume46
    Issue number1
    DOIs
    Publication statusPublished - 1995

    Keywords

    • Least squares estimation
    • Multichannel filtering and system identification
    • Adaptive lattice algorithms

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