4 November 2016 Study on glucose photoacoustic signals denoising based on a modified wavelet shift-invariance thresholding method
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Abstract
To improve the denoising effect of the glucose photoacoustic signals, a modified wavelet thresholding combined shift-invariance algorithm was used in this paper. In addition, the shift-invariance method was added into the improved algorithm. To verify the feasibility of modified wavelet shift-invariance threshold denoising algorithm, the simulation experiments were performed. Results show that the denoising effect of modified wavelet shift-invariance thresholding algorithm is better than that of others because its signal-to-noise ratio is largest and the root-mean-square error is lest. Finally, the modified wavelet shift-invariance threshold denoising was used to remove the noises of the photoacoustic signals of glucose aqueous solutions.
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Zhong Ren, Zhong Ren, Guodong Liu, Guodong Liu, } "Study on glucose photoacoustic signals denoising based on a modified wavelet shift-invariance thresholding method", Proc. SPIE 10026, Real-time Photonic Measurements, Data Management, and Processing II, 1002613 (4 November 2016); doi: 10.1117/12.2245531; https://doi.org/10.1117/12.2245531
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