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Research of FTRLS Algorithm in Acoustic Signal De-noising

Received: 16 November 2017     Published: 20 November 2017
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Abstract

In the acoustic temperature measurement system, the acoustic emission signal is easily affected by the wind field, the ambient noise and so on during the propagation process. Coupled with its own reflection, diffraction and scattering properties, the sensor receive the acoustic signals that are weak, difficult to identify, and even submerged in the background noise. In order to solve the above problem, this paper combines the principle of adaptive filter, and the FTRLS adaptive filter algorithm is designed to deal with linear frequency modulation signal, and the simulation experiment was carried out by MATLAB software. The results show that the noise-disturbing chirp signal can be effectively restored to a certain extent after denoising.

Published in Journal of Electrical and Electronic Engineering (Volume 5, Issue 5)
DOI 10.11648/j.jeee.20170505.15
Page(s) 186-191
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

The Acoustic Temperature Measurement System, FTRLS Adaptive Filter Algorithm, Chirp Signal, Denoising

References
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[3] Hu Zhukuan. Study status and development trend discussion of measuring technology of furnace temperature fields in plant boilers [J]. CHINA MEASUREMENT & TEST, 2015, 41(4): 5—9.
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  • APA Style

    Sun Yanpeng, Zuo Chenmeng. (2017). Research of FTRLS Algorithm in Acoustic Signal De-noising. Journal of Electrical and Electronic Engineering, 5(5), 186-191. https://doi.org/10.11648/j.jeee.20170505.15

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    ACS Style

    Sun Yanpeng; Zuo Chenmeng. Research of FTRLS Algorithm in Acoustic Signal De-noising. J. Electr. Electron. Eng. 2017, 5(5), 186-191. doi: 10.11648/j.jeee.20170505.15

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    AMA Style

    Sun Yanpeng, Zuo Chenmeng. Research of FTRLS Algorithm in Acoustic Signal De-noising. J Electr Electron Eng. 2017;5(5):186-191. doi: 10.11648/j.jeee.20170505.15

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  • @article{10.11648/j.jeee.20170505.15,
      author = {Sun Yanpeng and Zuo Chenmeng},
      title = {Research of FTRLS Algorithm in Acoustic Signal De-noising},
      journal = {Journal of Electrical and Electronic Engineering},
      volume = {5},
      number = {5},
      pages = {186-191},
      doi = {10.11648/j.jeee.20170505.15},
      url = {https://doi.org/10.11648/j.jeee.20170505.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20170505.15},
      abstract = {In the acoustic temperature measurement system, the acoustic emission signal is easily affected by the wind field, the ambient noise and so on during the propagation process. Coupled with its own reflection, diffraction and scattering properties, the sensor receive the acoustic signals that are weak, difficult to identify, and even submerged in the background noise. In order to solve the above problem, this paper combines the principle of adaptive filter, and the FTRLS adaptive filter algorithm is designed to deal with linear frequency modulation signal, and the simulation experiment was carried out by MATLAB software. The results show that the noise-disturbing chirp signal can be effectively restored to a certain extent after denoising.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - Research of FTRLS Algorithm in Acoustic Signal De-noising
    AU  - Sun Yanpeng
    AU  - Zuo Chenmeng
    Y1  - 2017/11/20
    PY  - 2017
    N1  - https://doi.org/10.11648/j.jeee.20170505.15
    DO  - 10.11648/j.jeee.20170505.15
    T2  - Journal of Electrical and Electronic Engineering
    JF  - Journal of Electrical and Electronic Engineering
    JO  - Journal of Electrical and Electronic Engineering
    SP  - 186
    EP  - 191
    PB  - Science Publishing Group
    SN  - 2329-1605
    UR  - https://doi.org/10.11648/j.jeee.20170505.15
    AB  - In the acoustic temperature measurement system, the acoustic emission signal is easily affected by the wind field, the ambient noise and so on during the propagation process. Coupled with its own reflection, diffraction and scattering properties, the sensor receive the acoustic signals that are weak, difficult to identify, and even submerged in the background noise. In order to solve the above problem, this paper combines the principle of adaptive filter, and the FTRLS adaptive filter algorithm is designed to deal with linear frequency modulation signal, and the simulation experiment was carried out by MATLAB software. The results show that the noise-disturbing chirp signal can be effectively restored to a certain extent after denoising.
    VL  - 5
    IS  - 5
    ER  - 

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Author Information
  • Department of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China

  • Department of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China

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