Share Email Print
cover

Proceedings Paper

Study on glucose photoacoustic signals denoising based on a modified wavelet shift-invariance thresholding method
Author(s): Zhong Ren; Guodong Liu
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 4 November 2016
PDF: 8 pages
Proc. SPIE 10026, Real-time Photonic Measurements, Data Management, and Processing II, 1002613 (4 November 2016); doi: 10.1117/12.2245531
Show Author Affiliations
Zhong Ren, Jiangxi Science and Technology Normal Univ. (China)
Nanchang Univ. (China)
Guodong Liu, Jiangxi Science and Technology Normal Univ. (China)


Published in SPIE Proceedings Vol. 10026:
Real-time Photonic Measurements, Data Management, and Processing II
Ming Li; Bahram Jalali; Keisuke Goda; Kevin K. Tsia, Editor(s)

© SPIE. Terms of Use
Back to Top