健康预测中信号去噪算法的研究  

Research on signals denoising method in health forecast

作　　者：张莲[1] 秦华峰[1] 余成波[1] 

机构地区：[1]重庆工学院远程测试与控制技术研究所,重庆400050

出　　处：《计算机工程与设计》2008年第17期4621-4622,4625,共3页Computer Engineering and Design

基　　金：重庆市自然科学基金重点项目(CSTC2007BA2023);重庆市教育委员会科学技术研究基金项目(KJ060613)

摘　　要：在D.L.Dohono和I.M.Johnstone提出的多分辨分析小波阈值去噪算法的基础上,提出了一种新的阈值函数。与传统的硬阈值和软阈值比,此函数不仅易于计算,而且具有优越的数学特性和清晰的物理意义。经对桥梁检测数据进行去噪试验,结果表明,该方法可以有效地去除白噪声干扰,无论在视觉效果上还是在信噪比和均方误差定量指标上均明显优于常用的软、硬阈值及改进的软硬阈值折中算法,充分体现出小波阈值去噪方法的优越性。Based on the multi-analysis wavelet threshold denosing method which put forward by D. L. Dohono and I. M. Johnstone, a new threshold function is presented. This new thresholding function has many advantages over the classical soft and hard thresholdding function. It is clear in physics meaning and simple in expression. The experiment of the bridges detection denoising shows that this improved method is effective in removing white noise, and gives better RMSE performance and SNR gains than soft and hard thmsholding methods, and makes it possible to embody the advantages of the wavelet threshold denoising method more fully.

关 键 词：小波变换 硬阈值去噪 软阈值去噪 阈值函数 健康预测 

分 类 号：TP911.7[自动化与计算机技术]