Affiliation:
1. Environmental Management College of China
2. Environmental Manangement College of China
Abstract
A blind source separation model out of statistical information principle is applied to “decode” multi-gas photoacoustic spectroscopy from mixing signal into a couple of single independent component based on samples from a given detection experiment and A FastICA algorithm with used in the mode is introduced to separate the spectroscopy of low molecule mass by a feature extraction or to track that of higher-mass volatile molecule by a pattern recognition, such as acetone or its similar-species molecules. The research has exhibited its glamour by successfully extracting ammonia feature absorption in the real-time detection of breath ammonia in vivo.
Publisher
Trans Tech Publications, Ltd.
Reference20 articles.
1. Wang Zhang, Zhiying Wu, Qingxu Yu: Photoacoustic spectroscopy for fast and sensitive ammonia detection. Chin. Opt. Lett, 2007, 5(11): p.677~679.
2. Zhang, W., Li, L., Yu, Q. : Breath ammonia detection based on tunable fiber laser photoacoustic spectroscopy. Applied Physics B Vol. 103(2011), pp.263-269.
3. L. Zhang, J. Mei: Shaping up simple cell's receptive field of animal vision by ICA and its application in navigation system. Neural Networks 2003, vol. 16, issues 5-6, p.609–615.
4. Pulkkinen J, Häkkinen AM, Lundbom N, Paetau A, Kauppinen RA, Hiltunen Y: spectroscopic imaging data of human brain tumours. in European Journal of Radiology, 2005, vol. 56, issue 2, pp.160-164.
5. A. D. Back and A. S. Weigend: A first application of independent component analysis to extracting structure from stock returns. Int. J. on Neural Systems , 1997 , vol. 8, issue 4, p.473–484.
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1 articles.
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