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Proceedings Paper

Study on an improved wavelet threshold denoising for the time-resolved photoacoustic signals of the glucose solution
Author(s): Zhong Ren; Guodong Liu; Zhen Huang
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Paper Abstract

Although the time-domain method, frequency-domain method and wavelet-domain method can used into signal denoising or filtering, the denoising of blood glucose photoacoustic signals are limited due to some advantages. In this paper, an improved wavelet threshold denoising method is used to remove the noise of the blood glucose photoacoustic signals. In order to overcome some drawbacks of classical wavelet threshold denoising, an improved wavelet threshold function was proposed. In the simulation experiments, the different denoising results are compared between this improved wavelet threshold function and other functions. And the experiments of this improved wavelet threshold function into the denoising of the time-resolved photoacoustic signals of glucose solution are performed. The experimental result verifies that the improved wavelet threshold function denoising is available. The improved wavelet threshold function has better flexibility than others due to the usage of two threshold values and two factors. So, the improved wavelet threshold function has the potential value in the denoising field of blood glucose photoacoustic signals.

Paper Details

Date Published: 5 August 2015
PDF: 11 pages
Proc. SPIE 9619, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Devices and Optical Signal Processing, 96190L (5 August 2015); doi: 10.1117/12.2189980
Show Author Affiliations
Zhong Ren, Jiangxi Science and Technology Normal Univ. (China)
Nanchang Univ. (China)
Guodong Liu, Jiangxi Science and Technology Normal Univ. (China)
Zhen Huang, Jiangxi Science and Technology Normal Univ. (China)


Published in SPIE Proceedings Vol. 9619:
2015 International Conference on Optical Instruments and Technology: Optoelectronic Devices and Optical Signal Processing
Yi Dong; Chao Lu; Jian Wu; Zhaohui Li, Editor(s)

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