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

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.