Improved second-generation wavelet and its application in denoising of seismic data;

Ultrasonic Signal Denoising in Wavelet Domain Based on Improved Threshold Function;

Application of wavelet analysis in seismic data denoising;

Research of De-noising for the Force Differential Signal Based on Multi-wavelet Transform;

Image de-noising method based on the scale-adaptive second generation wavelet;

Wavelet transform and its application on CCD video image de-noising;

Constructing dbN complex wavelets for PD signal denoise;

Coal DTG curve denoise based on Savitzky-Golay method;

Edge-preserved image denoise algorithm based on dyadic wavelet transform;

Application of wavelet de-noise in radar signal processing;

Time-frequency filtering de-noise method based on matching pursuit algorithm;

Application of LIFT de-noise method in seismic data processing.;

FastICA algorithm and its application in seismic signal noise elimination

This method, which takes 1-D wavelet noise elimination and wavelet packet noise e-limination as its principle elements, can reduce the part value of noise signal φs.

Taking the noise elimination of the outlet temperature signal of hydrocracking reactor as an example, the effect of the model parameters of the wave filter for noise elimination was compared.

An improved neighborhood selection method for local projection noise reduction

So the effective noise reduction strategy also is an important issue in CI improvement.

To improve the quality of low dose CT images, considering the so far excellent performance of multi-scale method in image denoising, this paper explores multi-scale algorithms for noise reduction of low dose CT sinogram data.