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Proceedings Paper

Signal separation and synthesis from modified superresolution short-time Fourier transforms
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Paper Abstract

Signal separation or editing of components in the time-frequency domain remains an important problem that is equivalent to time-varying filtering. In this paper, a method to better carry out this process is presented and is based on the use of superresolution in the short-time Fourier transform (STFT) domain. This enhancement of the STFT is accomplished by nonparametric adaptive stationary extrapolations performed on each block of time samples. Superresolution also facilitates the definition of a component's support region in the time-frequency plane before it is edited. Synthesis is performed using the overlap add method that has been previously used to reconstruct a signal from its STFT, or a modified/edited version of it. A heuristic comparison is presented using a test signal using both: conventional and superresolution STFT-domain editing. Applications to radar imaging are also discussed.

Paper Details

Date Published: 18 August 1995
PDF: 12 pages
Proc. SPIE 2562, Radar/Ladar Processing and Applications, (18 August 1995); doi: 10.1117/12.216967
Show Author Affiliations
Gabriel Thomas, Univ. of Texas/El Paso (United States)
Sergio D. Cabrera, Univ. of Texas/El Paso (United States)

Published in SPIE Proceedings Vol. 2562:
Radar/Ladar Processing and Applications
William J. Miceli, Editor(s)

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