Theory, Implementation and Application of Time-Frequency Signal Analysis using the Wigner-Ville Distribution

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Theory, Implementation and Application of Time-Frequency Signal Analysis using the Wigner-Ville Distribution

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dc.contributor.author Boashash, B
dc.date.accessioned 2012-04-22T08:41:41Z
dc.date.available 2012-04-22T08:41:41Z
dc.date.issued 1987-09
dc.identifier.citation B. Boashash, "Theory, Implementation and Application of Time-Frequency Signal Analysis using the Wigner-Ville Distribution", Journal of Electrical and Electronics Engineering, Australia, Vol. 7, No. 3, pp. 166-177, September,1987 en_US
dc.identifier.uri http://hdl.handle.net/10576/10817
dc.description This is one of the earliest papers to demonstrate the need for using time frequency distributions (TFD) when one deals with non-stationary signals such as speech, seismic, oceanographic, biomedical and biological signal analysis [30]. (Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see http://www.elsevier.com/locate/isbn/0080443354). 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: www.time-frequency.net. 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 The spectral analysis of non-stationary signals cannot be accomplished by the simple use of classical time domain representations such as correlation methods or frequency domain representations based on the Fourier Transform. For such signals, a concept of Time-Frequency Distribution (TFD) has been defined which takes jointly into account the variables of time and frequency. One of these TFD's, the Wigner-Ville distribution has been shown to possess the most interesting properties for use as a tool for Time-Frequency Signal Analysis. Its properties are reviewed, and it is shown how they can be useful for a practical analysis. The computational aspects for efficiently implementing the method are discussed, and an example of application to the analysis of transient signals is presented. en_US
dc.language.iso en en_US
dc.publisher Journal of Electrical and Electronics Engineering, Australia en_US
dc.subject time-frequency analysis en_US
dc.subject instantaneous frequency estimation en_US
dc.subject analytic signal en_US
dc.subject Quadratic Time-Frequency Distributions en_US
dc.subject Time-Frequency filtering en_US
dc.subject Discrete Time-Frequency distributions en_US
dc.subject Time-Frequency resolution en_US
dc.subject Time-Frequency concentration en_US
dc.subject Time-Frequency synthesis en_US
dc.subject Time-Frequency Detection en_US
dc.subject Time-Frequency Classification en_US
dc.subject Time-Frequency Estimation en_US
dc.subject Wigner-Ville distribution en_US
dc.subject monocomponent signals en_US
dc.subject multicomponent signals en_US
dc.subject cross-terms en_US
dc.subject interference terms en_US
dc.subject artifacts en_US
dc.subject time-frequency recognition en_US
dc.subject Pattern recognition en_US
dc.subject time-varying filtering en_US
dc.subject real-time Wigner-Ville analyser en_US
dc.subject transient signals en_US
dc.subject machine sounds analysis en_US
dc.title Theory, Implementation and Application of Time-Frequency Signal Analysis using the Wigner-Ville Distribution en_US
dc.type Article en_US

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