22 March 1996 New time-frequency approach for weak-chirp-signal detection
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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.
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Houng-Jyh Mike Wang, Houng-Jyh Mike Wang, Te-Chung Yang, Te-Chung Yang, C.-C. Jay Kuo, C.-C. Jay Kuo, } "New time-frequency approach for weak-chirp-signal detection", Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); doi: 10.1117/12.236000; https://doi.org/10.1117/12.236000

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