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Proceedings Paper

Application of wavelet packet transform to compressing Raman spectra data
Author(s): Chen Chen; Fei Peng; Qinghua Cheng; Dahai Xu
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Paper Abstract

Abstract The Wavelet transform has been established with the Fourier transform as a data-processing method in analytical fields. The main fields of application are related to de-noising, compression, variable reduction, and signal suppression. Raman spectroscopy (RS) is characterized by the frequency excursion that can show the information of molecule. Every substance has its own feature Raman spectroscopy, which can analyze the structure, components, concentrations and some other properties of samples easily. RS is a powerful analytical tool for detection and identification. There are many databases of RS. But the data of Raman spectrum needs large space to storing and long time to searching. In this paper, Wavelet packet is chosen to compress Raman spectra data of some benzene series. The obtained results show that the energy retained is as high as 99.9% after compression, while the percentage for number of zeros is 87.50%. It was concluded that the Wavelet packet has significance in compressing the RS data.

Paper Details

Date Published: 6 March 2009
PDF: 6 pages
Proc. SPIE 7280, Seventh International Conference on Photonics and Imaging in Biology and Medicine, 728009 (6 March 2009); doi: 10.1117/12.821195
Show Author Affiliations
Chen Chen, Yangtze Univ. (China)
Fei Peng, Tongji Hospital, Huazhong Univ. of Science and Technology (China)
Qinghua Cheng, Yangtze Univ. (China)
Dahai Xu, Yangtze Univ. (China)

Published in SPIE Proceedings Vol. 7280:
Seventh International Conference on Photonics and Imaging in Biology and Medicine
Qingming Luo; Lihong V. Wang; Valery V. Tuchin, Editor(s)

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