The translation-invariant de-noising method based on improved threshold function was therefore studied to de-noise the body fluttering signal.

This paper aimed at the ultrasonic signal polluted by noises, which is low in SNR, put forward a method of the ultrasonic signal de-noising in wavelet domain based on a new kind of an improved thresholding function, and by the simulated test, proved this method can get a remarkable effect in signal de-noising.

This paper aimed at the ultrasonic signal polluted by noises, which is low in SNR, put forward a method of the ultrasonic signal de-noising in wavelet domain based on a new kind of an improved thresholding function, and by the simulated test, it can get a remarkable effect in the signal denoising of the connect bolt ultrasonic testing in the light rail when using this method.

Wavelet de-noising based on novel thresholding function and best decomposition scale;

Signal de-noising in wavelet domain based on a new kind of thresholding function;

Wavelet-based vibration signal denoising with a new adaptive thresholding function

A Energy self-adaptive threshold function on denoise;

Signal de-noising in wavelet based on new threshold function;

A New Threshold Function De-Noising Method Based on Wavelet Transform

Considering that adopting singular image process will be constrained in its limitedly applicable scope,some time,even not get the deserved outcome,we propose modified threshold for feature extraction of tyre wear texture in this paper.

In this paper, after analysing the soft threshold function, the smoothness threshold function is proposed by modifying the soft threshold function.

Because the soft threshold function is continuous,the signal after de-noising becomes more smooth.