从噪声中恢复瞬态信号的Gabor级数法
RECOVERY OF TRANSIENT SIGNAL EMBEDDED IN NOISE USING GABOR SERIES
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摘要: 该文研究了从噪声中恢复原瞬态信号问题。根据瞬态信号和噪声的Gabor系数在时-频平面上分布不同的特点,借用假设检验理论,提出了一种恢复被噪声污染的原瞬态信号的Gabor级数方法,进行了计算机仿真和对实际信号的处理。Abstract: In this paper, the recovery of transient signals embedded in noise is studied. It is noticed that there is different feature between the transient signal s Gabor coefficients and the noise s Gabor coefficients distributed in time-frequency plane, the Gabor series method is presented for recovering transient signals embedded in noise in terms of hypothesis test theory. The computer simulation is implemented for exponential transient signal. This method is also used to process real-life signals.
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B.Friedlarder,Detection of transient signals by the Gabor representation,IEEE Trans on ASSP,1989:ASSP-37(2),169-180.[2]A.J.E.M.Janssen.The Zak transform:A signal transform for sampled time-continuous signals,Philips Journal of Research,1998,43(1),23-69.[3]R.S.Orr,Computational assessment of Gabor representations,Int .Conf.Acoust.Speech.Sig.Proc.Toronto,Canada,1991,2217-2210.[4]Mei Wenbo,Shark Lik-Kwan,Recovery of transient signals in noise by optimal thresholding in wavelet domain,Journal of Beijing Institute of Technology,1997,6(3):274-279. -
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