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Proceedings Paper

Evolutionary spectrum estimation by deconvolving bilinear time-frequency distributions
Author(s): Mustafa K. Emresoy; Amro El-Jaroudi
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Paper Abstract

A deconvolution technique to estimate the evolutionary spectrum (ES) of nonstationary signals by deconvolving the blurring effects of the kernel function from bilinear time frequency distributions (TFD) is presented. The resulting ES has desirable properties such as positivity, higher resolution, higher concentration in time-frequency. The proposed algorithm is computationally more efficient compared to the recently proposed entropy based deconvolution method. Unlike the entropy method the new algorithm can be adapted to deconvolve TFDs other than the spectrogram.

Paper Details

Date Published: 2 October 1998
PDF: 7 pages
Proc. SPIE 3461, Advanced Signal Processing Algorithms, Architectures, and Implementations VIII, (2 October 1998); doi: 10.1117/12.325675
Show Author Affiliations
Mustafa K. Emresoy, Univ. of Pittsburgh (United States)
Amro El-Jaroudi, Univ. of Pittsburgh (United States)

Published in SPIE Proceedings Vol. 3461:
Advanced Signal Processing Algorithms, Architectures, and Implementations VIII
Franklin T. Luk, Editor(s)

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