Evolutionary spectrum estimation by deconvolving bilinear time-frequency distributions

Mustafa K. Emresoy; Amro El-Jaroudi

doi:10.1117/12.325675

2 October 1998 Evolutionary spectrum estimation by deconvolving bilinear time-frequency distributions

Mustafa K. Emresoy, Amro El-Jaroudi

Proceedings Volume 3461, Advanced Signal Processing Algorithms, Architectures, and Implementations VIII; (1998) https://doi.org/10.1117/12.325675
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

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.

Citation Download Citation

Mustafa K. Emresoy and Amro El-Jaroudi "Evolutionary spectrum estimation by deconvolving bilinear time-frequency distributions", Proc. SPIE 3461, Advanced Signal Processing Algorithms, Architectures, and Implementations VIII, (2 October 1998); https://doi.org/10.1117/12.325675

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