首页> 外文会议>International Conference on Pervasive Computing, Signal Processing and Applications >Improved Algorithm for Denoising Based on Wavelet Threshold and Performance Analysis
【24h】

Improved Algorithm for Denoising Based on Wavelet Threshold and Performance Analysis

机译:基于小波阈值和性能分析的去噪算法

获取原文

摘要

A new threshold denoising method is presented in this paper, which is based on the soft and hard-threshold denoising method and named by ‘high-order approach method’. This method is flexible and extensively applicable. The principle and applicability of the new method is analyzed. Two common signals in Matlab are chosen to compare the denoising effect between the new method and others. The result shows that the new method has better denoising effect and higher SNR.
机译:本文提出了一种新的阈值去噪方法,其基于软硬阈值去噪方法,并被“高阶接近方法”命名。该方法灵活且广泛适用。分析了新方法的原理和适用性。选择MATLAB中的两个常见信号,以比较新方法和其他方法之间的去噪效果。结果表明,新方法具有更好的去噪效果和更高的SNR。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号