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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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
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