煤炭工程 ›› 2015, Vol. 47 ›› Issue (8): 113-115.doi: 10.11799/ce201508036

• 研究探讨 • 上一篇    下一篇

基于提升小波变换的煤仓雷达物位计信号降噪研究

陈寇忠   

  1. 中国煤炭科工集团太原研究院
  • 收稿日期:2014-07-07 修回日期:2014-08-01 出版日期:2015-08-12 发布日期:2015-08-19
  • 通讯作者: 陈寇忠 E-mail:843920163@qq.com

Based on wavelet transform is increased coal radar level meter signal noise reduction research

  • Received:2014-07-07 Revised:2014-08-01 Online:2015-08-12 Published:2015-08-19

摘要: 利用提升小波变换对煤仓雷达物位计信号进行了降噪研究,分析了各种小波将于阈值选取方法,提出了一种新的降噪阈值选取方法,并对提出的方法进行了模拟仿真,结果表明新方法可以有效提高信号的信噪比,降低信号的均方根误差。

关键词: 储煤仓仓位, 提升小波变换, 阈值降噪, MATLAB

Abstract: Papers of lifting wavelet transform on the coal bunker radar level meter signal noise reduction research, analyzes the various wavelet to threshold selection method.This paper proposes a new noise reduction method of threshold value, and the proposed method has carried on the simulation.The results show that the new method can effectively improve the SNR of signal, reduce the root mean square error signal.

Key words: Lifting wavelet transform, threshold, denoising, MATLAB

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