On noisy FIR filtering via total least squares estimation

    Research output: Chapter in Book / Conference PaperConference Paper

    Abstract

    ![CDATA[It is known that a problem of FIR filtering with noisy input and output data can be formulated as a total least squares (TLS) estimation problem. In this paper the sensitivity of the TLS algorithm with respect to the ratio between the variances of the input and output noises is studied. The sensitivity analysis shows that the assumption of the known noise variances ratio, which is vital to application of the TLS algorithm, can be relaxed to that of a rough range of this ratio. The practical workability of the TLS algorithm in noisy FIR filtering is thereby substantially increased. The theoretical findings are corroborated with computer simulation results.]]
    Original languageEnglish
    Title of host publicationProceedings of 37th IEEE International Symposium on Circuits and Systems, held in Vancouver, B.C., Canada, 23-26 May, 2004
    PublisherIEEE
    Number of pages1
    ISBN (Print)078038251X
    Publication statusPublished - 2004
    EventInternational Symposium on Circuits and Systems -
    Duration: 1 Jan 2004 → …

    Conference

    ConferenceInternational Symposium on Circuits and Systems
    Period1/01/04 → …

    Keywords

    • least squares
    • noise
    • algorithms
    • FIR filters
    • computer simulation
    • sensitivity analysis

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