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Proceedings Paper

Optimal kernels for time-frequency analysis
Author(s): Richard G. Baraniuk; Douglas L. Jones
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Paper Abstract

Current bilinear time-frequency representations apply a fixed kernel to smooth the Wigner distribution. However the choice of a fixed kernel limits the class ofsignals that can be analyzed effectively. This paper presents optimality criteria for the design of signal-dependeni kernels that suppress cross-components while passing as much auto-component energy as possible irrespective of the form of the signal. A fast algorithm for the optimal kernel solution makes the procedure competitive computationaily with fixed kernel methods. Examples demonstrate the superior performance of the optimal kernel for a frequency modulated signal.

Paper Details

Date Published: 1 November 1990
PDF: 7 pages
Proc. SPIE 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations, (1 November 1990); doi: 10.1117/12.23475
Show Author Affiliations
Richard G. Baraniuk, Univ. of Illinois/Urbana-Champaign (United States)
Douglas L. Jones, Univ. of Illinois/Urbana-Champaign (United States)


Published in SPIE Proceedings Vol. 1348:
Advanced Signal Processing Algorithms, Architectures, and Implementations
Franklin T. Luk, Editor(s)

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