A Mixed Denoising Method Based on Median Filter and Lifting Wavelet Technology for Sewage Sensing Signal Treatment

Ai Ai Fan; Guang Long Wang

doi:10.4028/www.scientific.net/AMM.330.967

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 330A Mixed Denoising Method Based on Median Filter...

A Mixed Denoising Method Based on Median Filter and Lifting Wavelet Technology for Sewage Sensing Signal Treatment

Abstract:

Digital signals are often contaminated by noise during signal acquisition and transmission for sewage sensing signal treatment such as aeration volume, oxygen content and water transparency etc. Sometimes, noise is a mixed one of gaussian noise and impulse noise. Unfortunately, existing denoising algorithms are often designed for removing single gaussian noise or impulse noise. In this paper, an efficient algorithm for mixed noise removal in signal is proposed, including space impulse noise removal and wavelet Gaussian noise removal. An impulse noise detection algorithm based on median filter is given to filter impulse signal, also a lifting wavelet was constructed by lifting original wavelet. The threshold based on lifting wavelet transform for signal was applied to denoising gaussian noise. Simulations are conducted on the presented algorithm, and the simulation result shows that this algorithm can remove mixed Gaussian and impulse noise in signal efficiently.

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Periodical:

Applied Mechanics and Materials (Volume 330)

Pages:

967-972

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.330.967

Citation:

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Online since:

June 2013

Authors:

Ai Ai Fan, Guang Long Wang

Keywords:

Lifting Wavelet, Median Filter, Mixed Noise, Sewage Sensing Signal Treatment

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