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Proceedings Paper

Model-based time-frequency analysis
Author(s): Shie Qian; Victor C. Chen
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Paper Abstract

Time-frequency analysis is particularly useful for non- stationary signals, such as radar, seismic, speech, biomedical signals, and machine condition monitoring. However, most time-frequency analyses are non-parametric and its resolution limited by the number of samples. We introduce model-based time-frequency analysis. Its frequency resolution is not limited by the number of samples in the data set, thus, super-high frequency resolution can be achieved. It also has unlimited zooming capability, which will be of benefit to the extraction of detailed time- frequency features of signals for automatic target recognition.

Paper Details

Date Published: 22 March 1999
PDF: 6 pages
Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); doi: 10.1117/12.342959
Show Author Affiliations
Shie Qian, National Instruments (United States)
Victor C. Chen, Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 3723:
Wavelet Applications VI
Harold H. Szu, Editor(s)

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