About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II

Research Article

Wavelet Threshold Denoising for High Speed Satellite Communication

Download(Requires a free EAI acccount)
4 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-69072-4_42,
        author={Shulin Xiao and Lintao Han and Jiabian An and Luyao Gao and Changhong Hu},
        title={Wavelet Threshold Denoising for High Speed Satellite Communication},
        proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II},
        proceedings_a={WISATS PART 2},
        year={2021},
        month={2},
        keywords={Wavelet threshold denoising Threshold function},
        doi={10.1007/978-3-030-69072-4_42}
    }
    
  • Shulin Xiao
    Lintao Han
    Jiabian An
    Luyao Gao
    Changhong Hu
    Year: 2021
    Wavelet Threshold Denoising for High Speed Satellite Communication
    WISATS PART 2
    Springer
    DOI: 10.1007/978-3-030-69072-4_42
Shulin Xiao1, Lintao Han1, Jiabian An1, Luyao Gao1, Changhong Hu1,*
  • 1: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences
*Contact email: changhonghu@rocketmail.com

Abstract

The principle of wavelet threshold de-noising is described in detail. Daubechies wavelet function is selected to denoise the sinusoidal signal with noise. The relationship between the order of wavelet function, the number of decomposition layers, the number of signal samples and the signal-to-noise ratio of denoised signal is demonstrated. At the same time, the calculation methods of fixed threshold, unbiased risk estimation threshold, mixed threshold and mini threshold max threshold are summarized, and then the denoising effects of hard threshold, soft threshold and semi soft threshold functions are compared. By analyzing the distribution of wavelet decomposition coefficients and combining with the characteristics of other threshold functions, a new wavelet threshold function is designed and compared with other threshold functions.

Keywords
Wavelet threshold denoising Threshold function
Published
2021-02-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-69072-4_42
Copyright © 2020–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL