一种基于最优小波包基的电泳荧光信号去噪方法
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摘要
针对现有电泳荧光信号去噪处理方法的不足,提出一种基于最优小波包基的信号去噪方法.该方法采用Shannon熵准则选择最优小波包基,选取Penalized阈值,用量化后的系数重构得到去噪后的信号.仿真实验表明:基于最优小波包基的电泳荧光信号去噪方法在使信噪比得到提高的同时,电泳荧光信号的峰值误差也进一步减小.
Aiming at the drawbacks of the existing denoising methods for electrophoretic fluorescent signal,a novel denoising algorithm based on the best basis of wavelet packets is proposed.It selects the best basis of wavelet packets according to Shannon entropy criteria,uses Penalized threshold and obtains the de-nosing signal by reconstracting the quantified coefficient of the wavelet decomposition.The results of simulation experiment indicate that this algorithm not only increases the signal-to-noise ratio,but also reduces the peak-error of fluorescent signal.
Aiming at the drawbacks of the existing denoising methods for electrophoretic fluorescent signal,a novel denoising algorithm based on the best basis of wavelet packets is proposed.It selects the best basis of wavelet packets according to Shannon entropy criteria,uses Penalized threshold and obtains the de-nosing signal by reconstracting the quantified coefficient of the wavelet decomposition.The results of simulation experiment indicate that this algorithm not only increases the signal-to-noise ratio,but also reduces the peak-error of fluorescent signal.
引文
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[2]ZHU Lei,ZHU Yao-lin,MAO Huan,et al.A new method for sparse signal denoising based on compressedsensing[C]//2009 Second International Symposiumon Knowledge Acquisition and Modeling.Wuhan:[s.n.],2009,1:35-38.
[3]杜宇人,史旺旺,高浩军.节能型电动车控制系统的研究[J].扬州大学学报:自然科学版,2006,9(4):61-64.
[4]ZHANG S,SALARI E.I mage denoising using a neural network based noo-filter in wavelet domain[C]//.2005IEEEInternational Conference on Acoustics,Speech,and Signal Processing.[s.l.]:IEEE,2005,2:989-992.
[5]柳建新,韩世礼,马捷.小波分析在地震资料去噪中的应用[J].地球物理学进展,2006,21(2):541-545.
[6]SHUI P L,ZHOUZ F,LI J X.I mage denoising algorithmvia best wavelet packet base using Wiener cost func-tion[J].IETI mage Process,2007,1(3):311-318.
[7]魏红梅,黄世源,许飞.小波包去噪在地震信号预处理中的应用[J].东北地震研究,2008,6(5):45-49.
[8]张花花.基于最优小波包基的信号增强算法研究及应用[J].电子测试,2010(8):15-20.
[9]AZZALINI A,FARGE M,SCHNEIDER K.Nonlinear wavelet thresholding:a recursive method to determinethe opti mal denoising threshold[J].Appl Comput Hamon Anal,2005,18(2):177-185.
[10]FLORIAN L,BLU T.SURE-LET multichannel i mage denoising:interscale orthonormal wavelet thresholding[J].IEEE Trans I mage Proc,2008,17(4):482-492.
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