A Mixed Denoising Method Based on Median Filter and Lifting Wavelet Technology for Sewage Sensing Signal Treatment
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 presentedalgorithm,and the simulation result shows that this algorithm can remove mixed Gaussian and impulse noise in signal efficiently.
mixed noise median filter lifting wavelet sewage sensing signal treatment
Aiai FAN Guanglong WANG
Taiyuan Municipal Drainage Management Office, Taiyuan, China Nanotechnology and Microsystem Lab, College of Mechanical Engineering, Shijiazhuang, China
国际会议
济南
英文
967-972
2013-05-18（万方平台首次上网日期，不代表论文的发表时间）