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A simple scheme for enhanced reassignment of the SPWV representation of noisy signals

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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    Abstract

    The reassignment procedure has often been employed to improve readability of some time-frequency representations (TFRs). When processing noisy signals, the problem of sensitivity of the technique to noise is encountered. In this paper, a simple modification of reassignment method is proposed, based on thresholding operation. Specifically, by preventing the reassignment of the distribution coefficients below the noise dependent threshold and replacing them with zeros, the enhanced signatures on the time-frequency plane are obtained. This method is compared with other techniques, such as the reassigned spectrogram (RSP) and the supervised reassigned spectrogram (SRSP). An experimental test of these algorithms as the instantaneous frequency (IF) estimators for a chirp signal have shown that our method improves the accuracy of the estimation for heavy noise.
    Translated title of the contributionA simple scheme for enhanced reassignment of the SPWV representation of noisy signals
    Original languageEnglish
    Title of host publication3rd International Symposium on Image and Signal Processing and Analysis (ISPA 2004) Rome, Italy
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages630 - 633
    Number of pages4
    Volume2
    ISBN (Print)953184061X
    DOIs
    Publication statusPublished - Sept 2003
    Event3rd International Symposium on Image and Signal Processing and Analysis, 2003 - Rome, Italy
    Duration: 18 Sept 200320 Sept 2003

    Publication series

    Name
    ISSN (Print)13301012

    Conference

    Conference3rd International Symposium on Image and Signal Processing and Analysis, 2003
    Country/TerritoryItaly
    CityRome
    Period18/09/0320/09/03

    Bibliographical note

    Rose publication type: Conference contribution

    Sponsorship: This work is supported by AMS UK

    Terms of use: Copyright © 2003 IEEE. Reprinted from 3rd International Symposium on Image and Signal Processing and Analysis, 2003 (ISPA 2003).

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