2003Unpublished venueRequires access

Joint time-frequency resolution of signal analysis using Gabor transform

Tomasz P. Zieliński

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Abstract

A joint time-frequency resolution of the Gabor transform-based signal analysis is investigated. First, different window functions used in the Gabor transform are compared with regard to their mean square time and frequency widths. Next, optimal windows with small TF support are found Finally, practical choice of windows maximizing signal energy concentration in the TF domain is examined. In this case the error of signal reconstruction from the Gabor coefficients as well as the mean square width of the short-time signal spectrum are computed for different time-varying test signals and minimized in the optimization process. Appropriate adapting the window length according to the rate of frequency modulation is proposed.

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What this paper is about

A joint time-frequency resolution of the Gabor transform-based signal analysis is investigated. First, different window functions used in the Gabor transform are compared with regard to their mean square time and frequency widths. Next, optimal windows with small TF support are found Finally, practical choice of windows maximizing signal energy concentration in the TF domain is examined. In this case the error of signal reconstruction from the Gabor coefficients as well as the mean square width of the short-time signal spectrum are computed for different time-varying test signals and minimized in the optimization process. Appropriate adapting the window length according to the rate of frequency modulation is proposed.

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Available abstract

A joint time-frequency resolution of the Gabor transform-based signal analysis is investigated. First, different window functions used in the Gabor transform are compared with regard to their mean square time and frequency widths. Next, optimal windows with small TF support are found Finally, practical choice of windows maximizing signal energy concentration in the TF domain is examined. In this case the error of signal reconstruction from the Gabor coefficients as well as the mean square width of the short-time signal spectrum are computed for different time-varying test signals and minimized in the optimization process. Appropriate adapting the window length according to the rate of frequency modulation is proposed.

Key concepts: Gabor transform, Time–frequency analysis, SIGNAL (programming language), Window function, Frequency domain, Joint (building), Computer science, S transform

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