IF Estimation for Multicomponent Signals

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IF Estimation for Multicomponent Signals

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dc.contributor.author Hussain, Z.M.
dc.contributor.author Boashash, B
dc.date.accessioned 2012-03-06T17:50:41Z
dc.date.available 2012-03-06T17:50:41Z
dc.date.issued 2003
dc.identifier.citation Time-Frequency Signal Analysis & Processing: A Comprehensive Reference, Elsevier Science, Oxford, 2003, Chapter 10, Article 10.3, pages 437-446 en_US
dc.identifier.isbn 0080443354
dc.identifier.isbn 9780080443355
dc.identifier.uri http://hdl.handle.net/10576/10795
dc.description This Article presents the approach to IF estimation of the separate components of a multicomponent FM signal using TFD peaks location, and the required conditions on the selection of a suitable quadratic TFD. (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 Concurrent IF estimation of the separate components of a multicomponent FM signal using TFD peaks location requires conditions on the selection of a suitable quadratic TFD. Required properties are: (1) high time-frequency resolution while suppressing cross-terms efficiently, (2) the TFD to enable direct amplitude estima- tion for the individual components, (3) the variance of the IF estimate using the TFD should be a continuously decreasing function of the lag window length while the bias is continuously increasing. Quadratic time-frequency distributions that satisfy these conditions were presented and discussed. A constant-window tracking algorithm may not give a robust IF estimate if the IF changes rapidly with time due to the effect of the higher-order derivatives of the IF law. Hence an adaptive algorithm is used for robust multicomponent IF estimation. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Time-Frequency Peak Detection en_US
dc.subject AM en_US
dc.subject FM en_US
dc.subject time-frequency distributions en_US
dc.subject Instantaneous Frequency estimation en_US
dc.subject WVD en_US
dc.subject PWVD en_US
dc.subject RID en_US
dc.subject XWVD en_US
dc.subject Quadratic TFDs en_US
dc.subject time-frequency analysis en_US
dc.subject IF estimate variance en_US
dc.subject IF estimate mean en_US
dc.subject MBD en_US
dc.subject modified B distribution en_US
dc.subject Reduced Interference en_US
dc.subject time-frequency resolution en_US
dc.subject Amplitude estimation en_US
dc.subject Adaptive IF estimation en_US
dc.title IF Estimation for Multicomponent Signals en_US
dc.type Book chapter en_US

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