Knowledge Network Node
Microelectronics ＆ Computer. 2021, (02)

Improved wavelet threshold denoising algorithmChinese Full TextEnglish Full Text (MT)

DU Shi-qiang;SONG Yu-kun;ZHANG Xuan;ZHANG Duo-li;School ofElectronic Science and Applied Physics ,Hefei University of Technology;

Abstract: Wavelet transform is widely used in signal denoising because of its advantages such as low entropy, multi-resolution and de-correlation. Based on the traditional wavelet threshold denoising algorithm, this paper proposes an improved wavelet threshold denoising algorithm based on the existing improved threshold function and threshold selection method. The improved threshold function has better continuity and smaller coefficient deviation; the new threshold selection method combines the Lipschitz ... More
Keywords：

wavelet transform; wavelet shrinkage; thresholding function; threshold selection;

  • DOI：

    10.19304/j.cnki.issn1000-7180.2021.02.008

  • Series：

    (I) Electronic Technology ＆ Information Science

  • Subject：

    Telecom Technology

  • Classification Code：

    TN911.7

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