JOURNAL ARTICLE

Research of Signal Denoising Algorithm Based on Wavelet Threshold

Abstract

To overcome the shortcomings of hard threshold method and soft threshold method of wavelet threshold based signal denoising, a new threshold function is presented in this paper. This function combines hard threshold function and soft threshold function, which has good mathematical properties and physical significance. It can be used in various cases of denoising by selecting suitable parameters. Simulation results and comparative studies show that this method is superior to the hard threshold method and soft threshold method, and it has obvious effect on signal denoising.

Keywords:
Noise reduction Wavelet SIGNAL (programming language) Algorithm Computer science Function (biology) Threshold model Reduction (mathematics) Signal-to-noise ratio (imaging) Pattern recognition (psychology) Artificial intelligence Mathematics Machine learning Telecommunications

Metrics

3
Cited By
0.62
FWCI (Field Weighted Citation Impact)
8
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Blind Source Separation Techniques
Physical Sciences →  Computer Science →  Signal Processing

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