Study on glucose photoacoustic signals denoising based on a modified wavelet shift-invariance thresholding method

Zhong Ren; Guodong Liu

doi:10.1117/12.2245531

4 November 2016 Study on glucose photoacoustic signals denoising based on a modified wavelet shift-invariance thresholding method

Zhong Ren, Guodong Liu

Author Affiliations +

Proceedings Volume 10026, Real-time Photonic Measurements, Data Management, and Processing II; 1002613 (2016) https://doi.org/10.1117/12.2245531
Event: SPIE/COS Photonics Asia, 2016, Beijing, China

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.

Citation Download Citation

Zhong Ren and 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); https://doi.org/10.1117/12.2245531

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