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), 2016. Published by Science Publishing Group |
Phase Match, IP Kernel, De-noise, Simulation
[1] | Wu SongLing. The development and Prospect of IP kernel technology in space system [J]. Aerospace Standardization, 2012, (2): 1-3. |
[2] | Cui XuJing, Ma PingQuan. Design and Implementation of Touch Screen Controller IP Kernel based on SOPC [J]. Electronic Design Engineering, 2012, 20(14): 166-169. |
[3] | Liu Wen Chao, Huang HanHua,Tang WenLong. Design and Implementation of Infrared Decoder IP core based on SoPC[J]. Modern Electronics Technique, 2012, 35(12): 4-6. |
[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. |
[7] | Niu Yi-long, Xiao Hui, Sun Jin-cai, Yang Hong-hui. A Genetic Algorithm for DOA and arameter Estimation based on Signal Phase Matching Principle, [J]. Journal of Harbin institute of technology, 2008, 40(7): 156-160. |
[8] | WuPeng, LiJingJiao. The Noise Removal onRebound Signal of Linear Fequency [C], Proceedings 2009 9th internatianal conference on hybrid intelligent systems HIS 2009, 3: 7-9. |
[9] | Soo Changpe, Jian Jiunding. Relations between Fractional Operationsand Time-frequency Distributions, and their applications. IEEE Transon SP, 2001,4 9(8): 1638-1655. |
[10] | Wu ZhengGuo, XiaLi, Yin WeiMin. Modern Signal Processing Technology [M]. Wuhan University press, 2003, 15-75. |
[11] | Kang Lei, Song CaiLi, Li RuiZhou. Digital Circuit Design and Implementation of HDL Verilog [M]. Xi'an Electronic and Science University press, 2010, 385-395. |
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
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
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
@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} }
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 -