信息与控制2011，Vol.40Issue(2)：150-154,5.DOI:10.3724/SP.J.1219.2010.00150
一种改进阈值的平移不变量小波消噪方法
A Translation-Invariant Wavelet Denoising Method Based on Improved Threshold
摘要
Abstract
By analyzing the soft threshold and hard threshold, a translation-invariant wavelet denoising method based on improved-threshold is proposed. In order to remove the interference between discontinuous points, the original signal is shifted circulatingly and repeatedly, and then the shifted signals are decomposed by wavelet separately. Afterwards, using the improved threshold quantization algorithm, the wavelet coefficients are estimated by processing the power of the wavelet coefficients and the power of the threshold, and then the signal is reconstructed. The reconstructed signals are shifted reversely, and then the denoised' signal is obtained by averaging the reversely-shifted signals. Experimental results of the sEMG (surface electromyography) show that comparing with the traditional threshold methods, this method improves the SNR (signal noise ratio) and reduces the mean square error.关键词
消噪/阈值/平移不变量Key words
de-noising/ threshold/ translation-invariant分类
信息技术与安全科学引用本文复制引用
涂建成,席旭刚,罗志增..一种改进阈值的平移不变量小波消噪方法[J].信息与控制,2011,40(2):150-154,5.基金项目
国家自然科学基金资助项目(6874102) （6874102）
国家863计划资助项目(2008AA04Z212) （2008AA04Z212）
浙江省自然科学基金资助项目(Y1090968). （Y1090968）
