Estimating and interpreting the instantaneous frequency of a signal. II. Algorithms and applications

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Estimating and interpreting the instantaneous frequency of a signal. II. Algorithms and applications

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dc.contributor.author Boashash, Boualem
dc.date.accessioned 2011-05-19T15:11:50Z
dc.date.available 2011-05-19T15:11:50Z
dc.date.issued 1992-04
dc.identifier.citation Proceedings of the IEEE, Issue Date: Apr 1992, Volume: 80 Issue:4, On page(s): 540 - 568 en_US
dc.identifier.issn 0018-9219
dc.identifier.uri http://hdl.handle.net/10576/10682
dc.description This is the first comprehensive in-depth treatment of the question of designing algorithms for estimating the Instantaneous Frequency of a signal, forming a significant contribution to time-frequency signal processing. A software package that calculates a wide range of IF estimates and TFDs can be downloaded from the web site: www.time-frequency.net en_US
dc.description.abstract The concept of instantaneous frequency (IF) is extended to discrete-time signals following a time-frequency perspective. The specific problem explored is that of estimating the IF of non-stationary signals such as frequency-modulated (FM) discrete-time signals embedded in Gaussian noise. Well-established methods for estimating the IF include differentiation of the phase and smoothing thereof, adaptive frequency estimation techniques such as the phase locked loop (PLL), and extraction of the peak from time-varying spectral representations. More recently, methods based on a modeling of the signal phase as a polynomial have been introduced. These methods are reviewed, and their performance compared on both simulated and real data. Guidelines are given as to which estimation method should be used for a given signal class and signal-to-noise ratio (SNR). The relevance to Time-Frequency Signal Processing is explored. en_US
dc.description.sponsorship IEEE en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject FM en_US
dc.subject Gaussian noise en_US
dc.subject adaptive frequency estimation en_US
dc.subject differentiation en_US
dc.subject discrete-time signals en_US
dc.subject instantaneous frequency en_US
dc.subject phase en_US
dc.subject phase locked loop en_US
dc.subject signal class en_US
dc.subject signal-to-noise ratio en_US
dc.subject smoothing en_US
dc.subject time-varying spectral representations en_US
dc.subject time-frequency signal processing en_US
dc.subject time-frequency analysis en_US
dc.subject LMS en_US
dc.subject RLS en_US
dc.subject TFD peaks en_US
dc.subject Hilbert Transform en_US
dc.subject Cramer-Rao bound en_US
dc.subject maximum likelihood en_US
dc.subject phase difference estimate en_US
dc.subject discrete-time IF en_US
dc.subject zero-crossing en_US
dc.subject TFD moments en_US
dc.subject polynomial phase en_US
dc.subject multicomponent IF estimation en_US
dc.subject XWVD en_US
dc.subject cross-WVD en_US
dc.subject Time-varying filtering en_US
dc.subject time-frequency filtering en_US
dc.subject frequency tracking en_US
dc.subject radar en_US
dc.subject point scatterers en_US
dc.subject radar imaging en_US
dc.title Estimating and interpreting the instantaneous frequency of a signal. II. Algorithms and applications en_US
dc.type Article en_US

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