Signal Dependent Time-Frequency and Time-Scale Signal Representations Designed Using the Radon Transform

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Signal Dependent Time-Frequency and Time-Scale Signal Representations Designed Using the Radon Transform

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dc.contributor.author Ristic, B
dc.contributor.author Boashash, B
dc.date.accessioned 2012-02-15T07:50:17Z
dc.date.available 2012-02-15T07:50:17Z
dc.date.issued 1995-09
dc.identifier.citation IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E78-A No.9 pp.1170-1177 en_US
dc.identifier.issn 0916-8508
dc.identifier.uri http://hdl.handle.net/10576/10784
dc.description The paper discusses the use of the t-f kernel design method in the context of time-scale analysis, and detection. based on the Radon transform of the Ambiguity function. (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 Time-frequency representations (TFRs) have been developed as tools for analysis of non-stationary signals. Signal dependent TFRs are known to perform well for a much wider range of signals than any fixed (signal independent) TFR. This paper describes customised and sequential versions of the signal dependent TFR proposed in [1]. The method, which is based on the use of the Radon transform at distance zero in the ambiguity domain, is simple and effective in dealing with both simulated and real data. The use of the described method for time-scale analysis is also presented. In addition, the paper investigates a simple technique for detection of noisy chirp signals using the Radon transfrom in the ambiguity domain. en_US
dc.language.iso en en_US
dc.publisher IEICE en_US
dc.subject non-stationary signals en_US
dc.subject time-frequency analysis en_US
dc.subject time-scale analysis en_US
dc.subject kernel design en_US
dc.subject time-frequency detection en_US
dc.subject Quadratic time-frequency distributions en_US
dc.subject Radon Transform en_US
dc.title Signal Dependent Time-Frequency and Time-Scale Signal Representations Designed Using the Radon Transform en_US
dc.type Article en_US

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