학술논문

Improved Algorithm for Denoising Based on Wavelet Threshold and Performance Analysis
Document Type
Conference
Source
2010 First International Conference on Pervasive Computing, Signal Processing and Applications Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on. :572-575 Sep, 2010
Subject
Computing and Processing
Communication, Networking and Broadcast Technologies
Noise reduction
Wavelet coefficients
Signal to noise ratio
Wavelet analysis
wavelet analysis
threshold value
denoising
Language
Abstract
A new threshold denoising method is presented in this paper, which is based on the soft and hard-threshold denoising method and named by ‘high-order approach method’. This method is flexible and extensively applicable. The principle and applicability of the new method is analyzed. Two common signals in Matlab are chosen to compare the denoising effect between the new method and others. The result shows that the new method has better denoising effect and higher SNR.