Fixed memory filter for real-time estimation of noise-corrupted signals

Rogelio Luck, Asok Ray

    Research output: Contribution to journalArticle

    Abstract

    This paper presents the concept and formulation of a finite-memory filter for real-time estimation of noise-corrupted signals. It is assumed that an autoregressive moving average (ARMA) model of the dynamic process is available. The structure of the filter is nonrecursive, and is based on weighted averaging of a finite array of past values of measured inputs and outputs of the dynamic process. The performance of the proposed filter has been evaluated by simulation experiments.

    Original languageEnglish (US)
    Pages (from-to)1-5
    Number of pages5
    JournalAmerican Society of Mechanical Engineers (Paper)
    StatePublished - 1992

    All Science Journal Classification (ASJC) codes

    • Mechanical Engineering

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