2008Unpublished venueRequires access

Time-frequency analysis using time-order representation and Wigner distribution

Ram Bilas Pachori, Pradip Sircar

Open publisher page 14 citations

Abstract

A new method for time-frequency analysis of a signal, which combines the time-order representation and the Wigner-Ville distribution (WVD) has been presented in this paper. The time-order representation based on short-term Fourier-Bessel (FB) expansion, decomposes a multicomponent signal into a number of monocomponent signals, and then the WVD technique is applied on each component of the composite signal to analyze its time-frequency distribution (TFD). Simulation results with real bat signal are included to illustrate the effectiveness of the proposed method.

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What this paper is about

A new method for time-frequency analysis of a signal, which combines the time-order representation and the Wigner-Ville distribution (WVD) has been presented in this paper. The time-order representation based on short-term Fourier-Bessel (FB) expansion, decomposes a multicomponent signal into a number of monocomponent signals, and then the WVD technique is applied on each component of the composite signal to analyze its time-frequency distribution (TFD). Simulation results with real bat signal are included to illustrate the effectiveness of the proposed method.

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OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A new method for time-frequency analysis of a signal, which combines the time-order representation and the Wigner-Ville distribution (WVD) has been presented in this paper. The time-order representation based on short-term Fourier-Bessel (FB) expansion, decomposes a multicomponent signal into a number of monocomponent signals, and then the WVD technique is applied on each component of the composite signal to analyze its time-frequency distribution (TFD). Simulation results with real bat signal are included to illustrate the effectiveness of the proposed method.

Key concepts: Time–frequency analysis, Wigner distribution function, Time–frequency representation, Representation (politics), SIGNAL (programming language), Algorithm, Bessel function, Computer science

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