Application of Wavelet Filter Method in Optical Tweezers Signal Processing

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 846-847)
• Pages: 966-971
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.846-847.966
• Online since: November 2013
• Authors: Zi Qiang Wang*, Di Li, Min Cheng Zhong, Jin Hua Zhou, Yin Mei Li, Fan Rang Kong
• Keywords: Compulsive Filter, Drift, Optical Tweezers, Threshold Value, Wavelet Filter

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