Application of Wavelet Filter Method in Optical Tweezers Signal Processing

Application of Wavelet Filter Method in Optical Tweezers Signal Processing
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小波滤波方法在光镊信号处理中的应用

DOI:
10.4028/www.scientific.net/amr.846-847.966
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发表时间:
2013-11
期刊:
Advanced Materials Research
影响因子:
--
通讯作者:
李银妹
李银妹
中科院分区:
其他
文献类型:
--
作者:
王自强;李迪;周金华;钟敏成;孔凡让;李银妹

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光学镊子(缩写为OT)的性能的一个限制是在每个设置中固有地存在的噪声。因此,期望最小化并且可能消除来自OT实验的噪声。本文提出了一种基于小波分析的滤波方法。首先分析了OT输出噪声的特性,并简单介绍了小波滤波方法。接下来,我们使用不同的碱基:db4和Haar对OTs漂移信号进行了研究。并对信号采用不同的滤波算法:软阈值、硬阈值、强制滤波进行了研究。通过以上分析得出了以下主要结论:分辨率越大,滤波效果越好。在阈值相同的情况下,以计算量为代价,软阈值滤波效果优于硬阈值滤波。对于这几种滤波方法,当小波和分辨率相同时,强制滤波的方差最小。对于相同小波基的强制滤波,harr的滤波效果优于db4,且前者的计算量较小。对不同算法的OT动态输出进行了分析,结果表明,采用强制滤波的滤波效果更好。因此,我们发现,采用Harr小波基和适当的分辨率进行强制滤波,对OT输出信号进行信号处理,有助于OT的设计和施工。
One limitation on the performance of optical tweezers (abbreviated as OT) is the noise inherently present in each setup. Therefore, it is the desire to minimize and possibly eliminate the noise from the OT experiments. In this paper, a filter method based on wavelet analysis is proposed. At first we investigate the properties of OT outputs noise, and introduce the wavelet filtering method in simply. Following, we study on the OTs drift signal using different base: db4 and Haar. And also study on the signal using different filter algorithm: the soft,the hard threshold,and compulsive filter. These main conclusions based on foregoing analysis are reached: more larger the resolving scale is, more perfect the filtering effect is. The soft threshold value filtering effect is better than that of the hard threshold value filtering at the cost of calculation when the threshold value is same. The variance of the compulsive filtering is least when both the wavelet and the resolving scale are same for these filtering methods. For the compulsive filtering with same wavelets, the filtering effect of harr is better than that of db4 and the calculation of the former is fewer. Analysis the dynamic output of OT with different algorithm, it also shows that the effect of filter with the compulsive filtering is better than others. Accordingly, we found that applying the compulsive filtering with the Harr wavelet base and suitable resolving scale to the signal processing of OT outputs signal is helpful for the OT design and construction.
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