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Proceedings Paper

New time-frequency approach for weak-chirp-signal detection
Author(s): Houng-Jyh Mike Wang; Te-Chung Yang; C.-C. Jay Kuo
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Paper Abstract

Several methods have been proposed to detect chirp signals buried in white noise, including wavelet shrinkage and matching pursuits. However, most of these methods perform poorly when the signal-to-noise ratio (SNR) becomes very low (e.g. lower than 0 dB). In this work, we present a new time-frequency technique using the multi-window Fourier transform (MWFT) and local maximum indexing. The new method detects the location and frequency range of a chirp signal with SNR up to minus 6 dB.

Paper Details

Date Published: 22 March 1996
PDF: 11 pages
Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); doi: 10.1117/12.236000
Show Author Affiliations
Houng-Jyh Mike Wang, Univ. of Southern California (United States)
Te-Chung Yang, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 2762:
Wavelet Applications III
Harold H. Szu, Editor(s)

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