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World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

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Abstract

DENOISING OF 1-D SIGNAL USING DISCRETE WAVELET TRANSFORMS

Dr. Anil Kumar*

ABSTRACT

Signal denoising is the process of removing noise from a signal for efficiency of getting information. The Signal denoising is implemented in software using MATLAB?s Wavelet Toolbox. The study is carried out on 1-D bump signal. First of all we select the optimal base wavelet for the given signal. Thereafter Shannon Entropy cost function thresholding is applied. This paper includes the discussion on the basics of wavelet, discrete wavelet transforms, selection of optimal wavelet, Shannon entropy cost function thresholding, signal denoising with results and conclusion.

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