Chinese Optics Letters, Volume. 2, Issue 2, 02113(2004)

De-noising of Raman spectrum signal based on stationary wavelet transform

Qingwei Gao1、*, Zhaoqi Sun2, Zhuoliang Cao2, and Pu Cheng1
Author Affiliations
  • 1Department of Automation, Anhui University
  • 2Department of Physics, Anhui University, Hefei 230039
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    [1] [1] S. G. Mallat, IEEE Trans. PAMI 11, 674 (1989).

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    [6] [6] A. Vidal-Pantaleoni, D. Marti, and M. Ferrando, in Processings of IEEE International Geoscience and Remote Sensing Symposium 1999 1325 (1999).

    [7] [7] G. P. Nason and B. W. Silverman, in Wavelet and Statistics (Lecture Notes in Statistics) A. Antoniadis and G. Oppenheim (ed.) (Spinger Verlag, New York, 1995) p. 281.

    [8] [8] Z. L. Cao and Z. Q. Sun, in Procceding of 18th ICORS, 489 (2002).

    CLP Journals

    [1] Guoping Zeng, Ruizhen Zhao. Image denoising using least squares wavelet support vector machines[J]. Chinese Optics Letters, 2007, 5(11): 632

    [2] Chen Yang, Zhang Taining, Guo Peng, Wang Xianghui, Wang Qian, Chang Shengjiang. Quantitative Analysis for Nonlinear Fluorescent Spectra Based on Principal Component Analysis[J]. Acta Optica Sinica, 2009, 29(5): 1285

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    Qingwei Gao, Zhaoqi Sun, Zhuoliang Cao, Pu Cheng. De-noising of Raman spectrum signal based on stationary wavelet transform[J]. Chinese Optics Letters, 2004, 2(2): 02113

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    Paper Information

    Category: Spectroscopy

    Received: Nov. 17, 2003

    Accepted: --

    Published Online: Jun. 6, 2006

    The Author Email: Qingwei Gao (wangyanm@ustc.edu.cn)

    DOI:

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