Signal Detection Using Time-Frequency Analysis

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Signal Detection Using Time-Frequency Analysis

Show simple item record Boashash, B O'Shea, P.J. 2012-03-27T06:13:47Z 2012-03-27T06:13:47Z 1992
dc.identifier.citation B. Boashash and P.J. O'Shea, "Signal Detection Using Time-Frequency Analysis", Chapter 12, pp. 279-304, in B. Boashash, editor, “Time Frequency Signal Analysis - Methods and Applications”, Longman Cheshire, 1992 en_US
dc.identifier.isbn 0 582 71286 6
dc.description This is one of the earliest Article that presented a review of t-f detection methods using the WVD and XWVD and Time-varying higher order spectra with two applications in feature extraction and time-frequency signaturing of individual cylinder firings for classification. (Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see In addition, the most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated). en_US
dc.description.abstract A review of detection methods has been provided and it has been seen that time-frequency based detectors form an important subclass of these methods. Of the time-frequency based detectors, the WVD and XWVD based ones have been seen to be particularly useful, due to their energy preserving properties and their ability to provide good .localisation in time and frequency. Time-varying higher order spectra have also been introduced as a possible means for detection. These methods were illustrated on two applications; the first was an example of feature extraction, where the problem was to detect an unknown FM modulated signal component. The second application was in the area of time-frequency signaturing, in which the WVD was used to provide signatures for individual cylinder firings. These signatures were then able to be used for very effective classification. en_US
dc.language.iso en en_US
dc.publisher Longman Cheshire en_US
dc.subject detection en_US
dc.subject time-frequency en_US
dc.subject Wigner-Ville Distribution en_US
dc.subject cross Wigner-Ville distribution en_US
dc.subject Pattern recognition en_US
dc.subject time-varying higher order spectra en_US
dc.subject multilinear en_US
dc.subject Time-Frequency detection en_US
dc.subject time-frequency correlation en_US
dc.subject time-frequency matched filter en_US
dc.subject time-frequency classification en_US
dc.subject transients en_US
dc.subject energy detector en_US
dc.subject signal enhancement en_US
dc.subject cumulant en_US
dc.subject bispectrum en_US
dc.subject WVD en_US
dc.subject cross-WVD en_US
dc.subject XWVD en_US
dc.subject time-frequency pattern recognition en_US
dc.subject time-frequency features en_US
dc.subject feature extraction en_US
dc.subject feature selection en_US
dc.subject higher-order statistics en_US
dc.subject HOS en_US
dc.subject TVHOS en_US
dc.subject time-varying HOS en_US
dc.subject time-frequency signaturing en_US
dc.subject engine cylinder firings en_US
dc.subject firing rate en_US
dc.subject higher order spectra en_US
dc.title Signal Detection Using Time-Frequency Analysis en_US
dc.type Book chapter en_US

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