Abstract
Selecting the most appropriate algorithms for reducing the noise component in infrared spectrum is very necessary, since the infrared signal is often corrupted by noise. To solve this problem, a novel de-noising method based on the null space pursuit (NSP) is proposed in this paper. The NSP is the adaptive operator-based signal separation approach, which can decompose the signal into sub-band components and the residue according to their characteristics. We consider the residue as noise, because it basically dose not contain any useful information. Then, the sub-band components are used to reconstructing the ideal signal. Experimental results show that the proposed de-noising method is effective in suppressing noise while protecting signal characteristics.
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References
Ho, L.T.: Infrared Absorption Spectrum of Magnesium Double Donors in Silicon. In: Infrared and Millimeter Waves and 13th International Conference on Terahertz Electronics, IRMMW-THz 2005, vol. 1, pp. 170–171 (2005)
Yang, H., Xie, S.S., Hu, X.L., Chen, L., Lu, Z.K.: Infrared Spectrum Visualizing Human Acupoints And Meridian-Like Structure. In: International Symposium on Metamaterial, pp. 54–56 (2006)
Barth, A.: Infrared Spectroscopy of Proteins. Elsevier Biochimica et Biophysica Acta (BBA)-Bioenergetics 1767(9), 1073–1101 (2007)
Guo, Q., Pan, J., Jiang, B., Yi, Z.: Astronomical Spectra Denoising based on Simplified SURE-LET Wavelet Thresholding. In: IEEE International Conference on Information and Automation, Zhangjiajie, China (2008)
Qu, J.S., Wang, J.Y.: Theory of Multi-channel Pulse Analysis System, pp. 206–214. Atomic Energy Press, Beijing (1987)
Zhao, Y.N., Yang, J.Y.: Weighted Features For Infrared Vehicle Verification Based On Gabor Filters. control, automation. In: Robotics and Vision Conference (ICARCV), vol. 1, pp. 671–675 (2004)
Peng, D., Li, X., Dong, K.N.: A Wavelet Component Selection Method for Multivariate Alibration of Near-Infrared Spectra Based on Information Entropy Theory. In: International Conference on ICBECS 2010. Wuhan, pp. 1–4 (2010)
Peng, S.L., Hwang, W.L.: Null Space Pursuit: an Operator-based Approach to Adaptive Signal Separation. IEEE Trans. Signal Process. 58, 2475–2483 (2010)
Peng, S.L., Hwang, W.L.: Adaptive Signal Decomposition based on Local Narrow Band Signals. IEEE Trans. Signal Process. 56, 2669–2676 (2008)
Hu, X.Y., Peng, S.L., Hwang, W.L.: Estimation of Instantaneous Frequency Parameters of the Operator-based Signal Separation Method. Advance in Adaptive Data Analysis 1(4), 573–586 (2009)
Xiao, Z.Y., Shen, L.J., Peng, S.L.: Image Super-resolution based on Null Space Pursuit. In: 2010 3rd International Congress Image and Signal Processing (CISP), Yantai, vol. 3, pp. 1200–1203 (2010)
Hu, X.Y., Peng, S.L., Hwang, W.L.: Operator based Multicomponent AM-FM Signal Separation Approach. In: IEEE International Workshop on Machine Learning for Signal Processing, Santander, pp. 1–6 (2011)
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Gao, Q., Zhu, D., Lu, Y., Sun, D. (2012). A New De-noising Method for Infrared Spectrum. In: Huang, DS., Gupta, P., Zhang, X., Premaratne, P. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2012. Communications in Computer and Information Science, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31837-5_29
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DOI: https://doi.org/10.1007/978-3-642-31837-5_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31836-8
Online ISBN: 978-3-642-31837-5
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