A modified identification algorithm for linear systems with noisy input-output data

    Research output: Chapter in Book / Conference PaperConference Paper

    Abstract

    ![CDATA[In this paper a modified identification algorithm for linear systems with noisy input-output data is developed. The main idea is to introduce extra equations so that the variances of the input noise and the output noise, which determine the noise-induced bias in the least-squares parameter estimator, can be estimated in a more accurate and quicker way. Due to this, such performance as estimation accuracy and convergence speed of the bias-correction based algorithm can be significantly boosted, at the expense of a fractional increase in the numerical cost. Computer simulations are presented, which leads to some useful conclusions.]]
    Original languageEnglish
    Title of host publicationProceedings of the 2002 IEEE International Symposium on Circuits and Systems held on May 26-29, 2002 at Fairmont Scottsdale Princess, Phoenix-Scottsdale, Arizona, USA
    PublisherIEEE Press
    Number of pages1
    ISBN (Print)0780374487
    Publication statusPublished - 2002
    EventIEEE International Symposium on Circuits and Systems -
    Duration: 20 May 2012 → …

    Conference

    ConferenceIEEE International Symposium on Circuits and Systems
    Period20/05/12 → …

    Keywords

    • signal processing
    • electric filters
    • electronics
    • linear systems
    • least squares
    • parameter estimation

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