NDLI: The Neural Network Adaptive Filter Model Based on Wavelet Transform

Content Provider	IEEE Xplore Digital Library
Author	Xiao Qian Ge Gang Wang Jianhui
Copyright Year	2009
Abstract	Due to the problem that the noise in the noisy signal can not be predicted in many practical fields, we have proposed an adaptive filter based on wavelet transform method. As the adaptive filter has the characteristic of eliminating noise no use to predict the priori knowledge of the noise in the signal, we have taken the signal after the first wavelet threshold denoising as the main input of the adaptive filter, meanwhile taken the wavelet reconstruction coefficients after the second wavelet transform as the reference input of the adaptive filter. And a neural network adaptive filter model based on wavelet transform is constructed. The model has applied the Hopfield neural network to implement the adaptive filtering algorithm LMS, so as to improve the computation speed. The simulation results show that the neural network adaptive filter model based on wavelet transform can achieve the best denoising effect.
Starting Page	529
Ending Page	534
File Size	325094
Page Count	6
File Format	PDF
ISBN	9780769537450
DOI	10.1109/HIS.2009.109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Fourier transforms Wavelet domain Filtering Adaptive Filter Model Noise reduction Adaptive filters Hopfield Neural Network Weight Denoising Wavelet Transform Neural networks Hopfield neural networks Wavelet packets Signal detection
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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