Title :
A study of wavelet thresholding denoising
Author :
Guo, Dai-fei ; Zhu, Wei-hong ; Gao, Zhen-ming ; Zhang, Jian-qiang
Author_Institution :
Dept. of Electr. Eng., Shandong Univ., Jinan, China
Abstract :
This paper introduces the principle of wavelet multiresolution analysis. Four kinds of threshold selection rules and three methods of threshold processing are given. According to the computer simulation, the best rule of estimating the threshold is found, which is combined with three kinds of threshold processing methods to denoise the same noisy signal. The best method of threshold processing is obtained by comparing the performance of three methods of threshold processing that are applied to denoising
Keywords :
noise; signal processing; wavelet transforms; SNR; computer simulation; noise cancellation; noisy signal; performance; threshold estimation; threshold processing; threshold selection rules; wavelet multiresolution analysis; wavelet thresholding denoising; Discrete wavelet transforms; Low pass filters; Multiresolution analysis; Noise level; Noise reduction; Signal processing; Signal resolution; Signal to noise ratio; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.894502
