›› 2012, Vol. 25 ›› Issue (11): 31-.

• 论文 • 上一篇    下一篇

基于改进阈值函数和自适应阈值的小波去噪方法

周帅,左东广   

  1. (第二炮兵工程大学 1系,陕西 西安 710025)
  • 出版日期:2012-11-15 发布日期:2013-01-23
  • 作者简介:周帅(1987—),男,硕士研究生。研究方向:兵器科学与技术。

Wavelet Denoising Basaed on Improved Threshold Function and Adaptive Threshold

 ZHOU Shuai, ZUO Dong-Guang   

  1. (1st Department,Second Artillery Engineering University,Xi'an 710025,China)
  • Online:2012-11-15 Published:2013-01-23

摘要:

根据小波阈值去噪的基本原理,提出一种基于改进阈值函数和自适应阈值的信号去噪方法,该方法兼顾了硬、软阈值函数的优点,同时又在一定程度上弥补了传统阈值去噪方法的缺陷;引入自适应阈值选取算法,有效地解决了在每一级尺度上都采用同一阈值的不足。实验表明,此方法提高了信号的信噪比,去噪效果有明显的提高,克服了采用硬阈值法去噪效果不佳和软阈值法造成信号失真的缺点,充分展示了改进去噪方法的优越性。

关键词: 改进阈值函数, 自适应阈值, 小波去噪, 信噪比

Abstract:

According to the theory of wavelet threshold denoising,a signal denoising method based on improved threshold function and adaptive threshold is put forward,which incorporates the advantages of hard and soft threshold functions,and makes up to some extent for the defects of traditional threshold denoising methods.The introduction of adaptive thresholding algorithm effectively saves the need to using the same threshold on each scale.Experimental results show that this method improves the signal-to-noise ratio and the denoising effect by overcoming the disadvantages of the poor denoising effect of hard thresholding and the distortion caused by soft threshold method.

Key words: improved thresholding function;adaptive threshold;wavelet denoising;signal-to-noise ratio

中图分类号: 

  • TN911