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10.1109/IITA.Workshops.2008.195guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Kalman Filter's Application in Denoising of Power Spectrum Estimate in AR Process

Published: 21 December 2008 Publication History
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  • Abstract

    AR process's denoising methods are discussed in this paper whose system response being perceived under the additive white noise, within the two discussed methods, the Formula Analysis method is proved less satisfactory through experiments results whereas in Kalman Filter method both the system impulses of AR process and noise contaminated system response are regarded as inputs and white noise only as parameters involved in computation. Through above process computer simulation shows that influences of noise chaotic factors to the computation results can be reduced.

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    cover image Guide Proceedings
    IITAW '08: Proceedings of the 2008 International Symposium on Intelligent Information Technology Application Workshops
    December 2008
    1106 pages
    ISBN:9780769535050

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    IEEE Computer Society

    United States

    Publication History

    Published: 21 December 2008

    Author Tags

    1. Kalman Filter
    2. denoising
    3. power spectrum estimation

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