Research on the White Noise Suppression by Adaptive Filtering of Genetic Algorithm

Xiao Rong Tong

doi:10.4028/www.scientific.net/AMM.155-156.989

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 155-156Research on the White Noise Suppression by...

Research on the White Noise Suppression by Adaptive Filtering of Genetic Algorithm

Abstract:

Signal transmission is often subject to the disturbance of white noise. Owing to the spectrum of white noise can be found in the real number field, it is often difficult to filter out with the traditional filter. This article describes the methods of white noise suppression using adaptive filter and mean filter. First, using the genetic algorithm to optimize the weight vector of the adaptive filter, and then using the method of the mean filter to further filter, Simulation results show that the filter can effectively suppress white noise.

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Periodical:

Applied Mechanics and Materials (Volumes 155-156)

Pages:

989-994

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.155-156.989

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Online since:

February 2012

Authors:

Xiao Rong Tong

Keywords:

Adaptive Filtering, Genetic Algorithm (GA), Mean Filter, White Noise

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References

[1] PauloS.R. Diniz: Adaptive Filtering Algorithms and pratical implement(Devoed: Clarendon, 2008 , pp.90-95).

Google Scholar

[2] Deng Zhang, Mabu, S. and Hirasawa, K.: Noise reduction using genetic algorithm based PCNN method, 2010 IEEE International Conference , Istanbul , (2010) , pp.2627-2629.

DOI: 10.1109/icsmc.2010.5641902

Google Scholar

[3] Thomas Drumright: Adaptive Filtering, 3rd ed., vol. 2. Oxford: Clarendon, (2008), pp.68-73.

Google Scholar

[4] Douglas L. Jones and Swaroop Appadwedula, Adaptive Filtering: LMS Algorithm, Systems and Control in Aeronautics and Astronautics (ISSCAA), China, Harbin , (2010), pp.971-976.

Google Scholar

[5] Tai-shan Yan: An Improved Genetic Algorithm and Its Blending Application with Neural Network, Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on, China, Wuhan, (2010), pp.22-24.

DOI: 10.1109/iwisa.2010.5473303

Google Scholar

[6] Adam Marczyk. and Genetic: Algorithms and Evolutionary Computation IEEE Transl. J. Magn. Japan, vol. 2(2004), pp.740-741.

Google Scholar

[7] Pu Shi and Yujie Cui: The enhanced genetic algorithms for the optimization design. Control and Decision Conference (CCDC), China, Xuzhou , (2010), pp.26-28.

Google Scholar