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Proceedings Paper

Time-frequency characterization of acoustic transients
Author(s): Robert Rohrbaugh
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Paper Abstract

Impulsive transient signals have been difficult to characterize and classify using traditional signal processing methods. We show that time-frequency distributions can effectively characterize the transient response of an acoustical cavity. Class-dependent kernels developed from time-frequency distributions are used to successfully classify the impulsive transients.

Paper Details

Date Published: 24 October 1997
PDF: 14 pages
Proc. SPIE 3162, Advanced Signal Processing: Algorithms, Architectures, and Implementations VII, (24 October 1997); doi: 10.1117/12.284183
Show Author Affiliations
Robert Rohrbaugh, Naval Surface Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 3162:
Advanced Signal Processing: Algorithms, Architectures, and Implementations VII
Franklin T. Luk, Editor(s)

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