：A denoising method of block thresholding based on DT-CWT (Dual-tree complex wavelet transform) is proposed, aiming at the difficulty of extracting weak failure information in machinery vibration signals. The presented method can obtain higher signal-to-noise ratio (SNR) than NeighBlock and other common methods based on orthonormal discrete wavelet trans- form, because of improving asymptotic optimality of block thresholding estimator and shift invariance of DT-CWT. It can not only suppress white Gaussian noise, but also remove spike pulse noise in impulsive signal effectively.

基于复小波块阈值的降噪方法及其在机械故障诊断中的应用_陈志新.pdf

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