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小波包多阈值去噪的一种改进方法
引用本文:谭文才,张秋菊.小波包多阈值去噪的一种改进方法[J].江南大学学报(自然科学版),2012,11(2):178-181.
作者姓名:谭文才  张秋菊
作者单位:江南大学机械工程学院,江苏无锡,214122
摘    要:针对含噪信号中信号与噪声在频域内分布的差异性,通过小波包分解,将得到的小波包按照频率顺序重新排列,经过能量的比较将小波包分为3段进行阈值处理,实现多阈值去噪.仿真结果表明,与常用的Stein无偏似然估计阈值、极大极小准则闽值和固定形式阈值等方法比较,改进方法去噪效果更佳.

关 键 词:振动与波  小波包  消噪  多阈值  频段排序

An Improved De-Noising Method by Wavelet Packet Multi-Threshold
TAN Wen-cai , ZHANG Qiu-ju.An Improved De-Noising Method by Wavelet Packet Multi-Threshold[J].Journal of Southern Yangtze University:Natural Science Edition,2012,11(2):178-181.
Authors:TAN Wen-cai  ZHANG Qiu-ju
Institution:(School of Mechanical Engineering,Jiangnan University,Wuxi 214122,China)
Abstract:According to the differences of signal and noise frequency distribution,the signal and noise were decomposed by the wavelet packet.The resulting wavelet packets were rearranged in terms of the frequency order and were divided into three sections for threshold processing by comparing wavelet packet coefficients energy.Finally,the multi-threshold denoising was achieved.Comparing with the commonly used threshold methods,such as Stein,Minimaxi,Sqtwolog and etc.,the simulation results showed that the improved de-noising method was more effective.
Keywords:vibration and wave  wavelet packet  de-noising  multi-threshold  frequency band sort
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