计算机与现代化

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一种改进的小波阈值函数去噪方法

  

  1. 1.南京大学电子科学与工程学院,江苏南京210046;2.62201部队基建营房处,青海西宁810008;3.中国人民解放军军事科学院院务部营房部,北京100209
  • 收稿日期:2013-11-08 出版日期:2014-03-24 发布日期:2014-03-31
  • 作者简介:张弛(1984-),男,安徽黄山人,南京大学电子科学与工程学院硕士研究生,研究方向:信号识别及处理; 李翔(1984-),男,安徽黄山人,62201部队基建营房处助理工程师,研究方向:营房电气信息化管理; 姚磊(1985-),男,中国人民解放军军事科学院院务部营房部助理工程师,研究方向:营房管理计算机仿真与运用。

An Improved Method of Wavelet Threshold Function Denoising

  1. 1. School of Electronic Science and Engineering, University of Nanjing, Nanjing 210046, China; 2. Construction Servicing Management Division of the 62201 Army, Xi’ning 810008, China;3. Barracks Servicing of Management Department, Academy of Millitary Sciences of PLA, Beijing 100209, China
  • Received:2013-11-08 Online:2014-03-24 Published:2014-03-31

摘要: 小波变换在信号滤波去噪方面得到广泛运用。本文在小波阈值函数去噪原理的基础上,对传统的软、硬阈值函数方法和Garrote函数阈值方法进行分析,提出一种基于Garrote函数的改进型阈值函数。Matlab仿真实验表明,新的改进型阈值函数去噪效果优于传统方法。

关键词: 小波去噪, 阈值函数, 信噪比

Abstract: Based on the method of wavelet threshold denoising, the procession of wavelet threshold denoising is introduced, and the traditional soft, hard and Garrote threshold function are analysed. In order to overcome the shortcoming of the traditional threshold function, a new modified threshold function is proposed. The results of experimental simulation indicate that the modified denoising method performs effectively and remarkable, which is better than the traditional functions.

Key words: wavelet denoising, threshold function, SNR

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