6 March 2009 Application of wavelet packet transform to compressing Raman spectra data
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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.
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Chen Chen, Chen Chen, Fei Peng, Fei Peng, Qinghua Cheng, Qinghua Cheng, Dahai Xu, Dahai Xu, "Application of wavelet packet transform to compressing Raman spectra data", Proc. SPIE 7280, Seventh International Conference on Photonics and Imaging in Biology and Medicine, 728009 (6 March 2009); doi: 10.1117/12.821195; https://doi.org/10.1117/12.821195

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