A simple scheme for enhanced reassignment of the smoothed pseudo Wigner-Ville representation of noisy signals

AT Loza, CN Canagarajah, DR Bull

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. A simple modification of the reassignment method is proposed, based on a 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 smoothed pseudo Wigner-Ville representation of noisy signals
Original languageEnglish
Title of host publicationIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'03) Hong Kong, China
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
PagesVI-457 - VI-460
Number of pages4
VolumeVI
ISBN (Print)0780376633
DOIs
Publication statusPublished - Apr 2003
Event2003 IEEE International Conference on Acoustics, Speech, and Signal Processing - Hong Kong Exhibition and Convention Centre , Hong Kong, China
Duration: 6 Apr 200310 Apr 2003

Conference

Conference2003 IEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated titleICASSP '03
CountryChina
CityHong Kong
Period6/04/0310/04/03

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: This work is supported by Alenia-Marconi Systems UK.

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