Research of FTRLS Algorithm in Acoustic Signal De-noising

Sun Yanpeng; Zuo Chenmeng

doi:doi:10.11648/j.jeee.20170505.15

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Research of FTRLS Algorithm in Acoustic Signal De-noising

Sun Yanpeng, Zuo Chenmeng

Published in Journal of Electrical and Electronic Engineering (Volume 5, Issue 5)

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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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

Sun Yanpeng

Department of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China
Zuo Chenmeng

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

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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

Copy | Download

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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download