Phase Matching Denoising Algorithm and IP Design

Wu Peng; Xia Hui; Wang Chen

doi:doi:10.11648/j.ijiis.20160505.13

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Phase Matching Denoising Algorithm and IP Design

Wu Peng, Xia Hui, Wang Chen

Published in International Journal of Intelligent Information Systems (Volume 5, Issue 5)

Received: 16 October 2016 Accepted: Published: 17 October 2016

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Abstract

At present, there are many kinds of denoising algorithms, but the hardware of these algorithms IP design is very lacked. In this paper, a phase matching denoising algorithm is proposed to remove the noise, and the IP design of this method is realized. Phase matching denoising algorithm is based on the signal phase matching method to obtain the actual signal and remove noise. Mathematical expression and mathematical proof of the method are given here. Using this method, the IP kernel design is given and the design method is given. Through the function simulation, it is proved that the IP kernel design can effectively remove the noise in the signal.

Published in	International Journal of Intelligent Information Systems (Volume 5, Issue 5)
DOI	10.11648/j.ijiis.20160505.13
Page(s)	71-74
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), 2024. Published by Science Publishing Group

Keywords

Phase Match, IP Kernel, De-noise, Simulation

References

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[4]	Wu Peng, LI Jing-jiao, Wang Ai-xia, Wang Jiao. Higher Order Spectra Denoising Method of Phase Matching Noise Estimation, [J]. Journal of Chinese Computer System, 2010, 31(12): 2381-2384.
[5]	Wu Peng, LiuJie, LiJingjiao. Wavelet Denoising of the Noise Estimation on Phase Matching, [J]. International Journalof Innovative Computing Information and Control, 2011, 7(6): 3073-3081.
[6]	Liu Li, Zhu Weijie, Sun Jincai .Method of Tatal Least Squares of Parameter Estimation for Sinusoidal Signals Using Principle of Signal Matched-phase, [J]. Acoustic technique, 2004, 23(1): 128-132.
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APA Style

Wu Peng, Xia Hui, Wang Chen. (2016). Phase Matching Denoising Algorithm and IP Design. International Journal of Intelligent Information Systems, 5(5), 71-74. https://doi.org/10.11648/j.ijiis.20160505.13

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ACS Style

Wu Peng; Xia Hui; Wang Chen. Phase Matching Denoising Algorithm and IP Design. Int. J. Intell. Inf. Syst. 2016, 5(5), 71-74. doi: 10.11648/j.ijiis.20160505.13

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AMA Style

Wu Peng, Xia Hui, Wang Chen. Phase Matching Denoising Algorithm and IP Design. Int J Intell Inf Syst. 2016;5(5):71-74. doi: 10.11648/j.ijiis.20160505.13

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@article{10.11648/j.ijiis.20160505.13,
  author = {Wu Peng and Xia Hui and Wang Chen},
  title = {Phase Matching Denoising Algorithm and IP Design},
  journal = {International Journal of Intelligent Information Systems},
  volume = {5},
  number = {5},
  pages = {71-74},
  doi = {10.11648/j.ijiis.20160505.13},
  url = {https://doi.org/10.11648/j.ijiis.20160505.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20160505.13},
  abstract = {At present, there are many kinds of denoising algorithms, but the hardware of these algorithms IP design is very lacked. In this paper, a phase matching denoising algorithm is proposed to remove the noise, and the IP design of this method is realized. Phase matching denoising algorithm is based on the signal phase matching method to obtain the actual signal and remove noise. Mathematical expression and mathematical proof of the method are given here. Using this method, the IP kernel design is given and the design method is given. Through the function simulation, it is proved that the IP kernel design can effectively remove the noise in the signal.},
 year = {2016}
}

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TY  - JOUR
T1  - Phase Matching Denoising Algorithm and IP Design
AU  - Wu Peng
AU  - Xia Hui
AU  - Wang Chen
Y1  - 2016/10/17
PY  - 2016
N1  - https://doi.org/10.11648/j.ijiis.20160505.13
DO  - 10.11648/j.ijiis.20160505.13
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 71
EP  - 74
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20160505.13
AB  - At present, there are many kinds of denoising algorithms, but the hardware of these algorithms IP design is very lacked. In this paper, a phase matching denoising algorithm is proposed to remove the noise, and the IP design of this method is realized. Phase matching denoising algorithm is based on the signal phase matching method to obtain the actual signal and remove noise. Mathematical expression and mathematical proof of the method are given here. Using this method, the IP kernel design is given and the design method is given. Through the function simulation, it is proved that the IP kernel design can effectively remove the noise in the signal.
VL  - 5
IS  - 5
ER  -

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Author Information

Wu Peng

ShenYang Normal University Software College, ShenYang, China
Xia Hui

ShenYang Normal University Software College, ShenYang, China
Wang Chen

ShenYang Normal University Software College, ShenYang, China

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APA Style

Wu Peng, Xia Hui, Wang Chen. (2016). Phase Matching Denoising Algorithm and IP Design. International Journal of Intelligent Information Systems, 5(5), 71-74. https://doi.org/10.11648/j.ijiis.20160505.13

Copy | Download

ACS Style

Wu Peng; Xia Hui; Wang Chen. Phase Matching Denoising Algorithm and IP Design. Int. J. Intell. Inf. Syst. 2016, 5(5), 71-74. doi: 10.11648/j.ijiis.20160505.13

Copy | Download

AMA Style

Wu Peng, Xia Hui, Wang Chen. Phase Matching Denoising Algorithm and IP Design. Int J Intell Inf Syst. 2016;5(5):71-74. doi: 10.11648/j.ijiis.20160505.13

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@article{10.11648/j.ijiis.20160505.13,
  author = {Wu Peng and Xia Hui and Wang Chen},
  title = {Phase Matching Denoising Algorithm and IP Design},
  journal = {International Journal of Intelligent Information Systems},
  volume = {5},
  number = {5},
  pages = {71-74},
  doi = {10.11648/j.ijiis.20160505.13},
  url = {https://doi.org/10.11648/j.ijiis.20160505.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20160505.13},
  abstract = {At present, there are many kinds of denoising algorithms, but the hardware of these algorithms IP design is very lacked. In this paper, a phase matching denoising algorithm is proposed to remove the noise, and the IP design of this method is realized. Phase matching denoising algorithm is based on the signal phase matching method to obtain the actual signal and remove noise. Mathematical expression and mathematical proof of the method are given here. Using this method, the IP kernel design is given and the design method is given. Through the function simulation, it is proved that the IP kernel design can effectively remove the noise in the signal.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Phase Matching Denoising Algorithm and IP Design
AU  - Wu Peng
AU  - Xia Hui
AU  - Wang Chen
Y1  - 2016/10/17
PY  - 2016
N1  - https://doi.org/10.11648/j.ijiis.20160505.13
DO  - 10.11648/j.ijiis.20160505.13
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 71
EP  - 74
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20160505.13
AB  - At present, there are many kinds of denoising algorithms, but the hardware of these algorithms IP design is very lacked. In this paper, a phase matching denoising algorithm is proposed to remove the noise, and the IP design of this method is realized. Phase matching denoising algorithm is based on the signal phase matching method to obtain the actual signal and remove noise. Mathematical expression and mathematical proof of the method are given here. Using this method, the IP kernel design is given and the design method is given. Through the function simulation, it is proved that the IP kernel design can effectively remove the noise in the signal.
VL  - 5
IS  - 5
ER  -

Copy | Download