NDLI: Design and implementation of a fuzzy control filtering approach based on the fractal dimension of the SPR signal

Content Provider	IEEE Xplore Digital Library
Author	Liu Jiazhuo Ye Weixiang Zhang Wei Wang Cheng Liu Guohua
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. & Microelectron., Nankai Univ., Tianjin, China (Liu Jiazhuo; Ye Weixiang; Zhang Wei; Wang Cheng; Liu Guohua)
Abstract	For the intelligent surface plasmon resonance biochemical analyzer, we have discussed the problems of the control parameters selected using fuzzy control filtering approach based on the grid fractal dimension theory after the analysis of the SPR signal noise characteristics, and designed a piecewise function model between the fuzzy control parameter and the fractal dimension. On experimentally measured concentration of 5% ethanol solution of the wavelength of the SPR signal processing, and compared with Haar wavelet decomposition in 4-layer and 5-layer, the analysis of results demonstrated that the approach of grid fractal filtering for the SPR sensing signal noise reduction is feasible, the noise reduction and smooth performed significantly well, especially in the vicinity of absorption peak, and the signal-to-noise ratio is higher than the Haar wavelet in 4-layer and 5-layer decomposition. This approach has obvious advantages and good performance with simple algorithm, little amount of computation compared with wavelet transform.
Starting Page	1
Ending Page	6
File Size	721578
Page Count	6
File Format	PDF
ISBN	9781479910274
DOI	10.1109/ICSPCC.2013.6663892
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy control Maximum likelihood detection Fractal dimension Noise Noise reduction Haar wavelet SPR signal processing Fractals Filtering theory
Content Type	Text
Resource Type	Article

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