The Design of a Wavelet-Based Neural Network Adaptive Filter

Qian Xiao; Yu Shan Jiang; Ru Zheng Cui

doi:10.4028/www.scientific.net/AMR.860-863.2791

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 860-863The Design of a Wavelet-Based Neural Network...

The Design of a Wavelet-Based Neural Network Adaptive Filter

Abstract:

Aiming at the large calculation workload of adaptive algorithm in adaptive filter based on wavelet transform, affecting the filtering speed, a wavelet-based neural network adaptive filter is constructed in this paper. Since the neural network has the ability of distributed storage and fast self-evolution, use Hopfield neural network to implement adaptive filter LMS algorithm in this filter so as to improve the speed of operation. The simulation results prove that, the new filter can achieve rapid real-time denoising.

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Periodical:

Advanced Materials Research (Volumes 860-863)

Pages:

2791-2795

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.860-863.2791

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Online since:

December 2013

Authors:

Qian Xiao*, Yu Shan Jiang, Ru Zheng Cui

Keywords:

Adaptive Filter Algorithm, ECG Signal, Neural Network (NN), Wavelet Transform (WT)

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* - Corresponding Author

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