Compressed Sensing Research on Barn Temperature

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Abstract:

That compressed sensing is used in online monitoring of stored grain information could reduce the mass of information storage space and transmission bandwidth. However, due to the question that compressed sensing reconstructed error may cause decision-end to make wrong decision, a limited feedback error controlling method is proposed, wrong decision-making caused by reconstruction error is solved through feedback a small number of critical data. Numerical experiments on barn temperature shows that this method, on the basis of costing a small amount of compression ratio, can effectively improve the quality of reconstructed signal.

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160-163

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February 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Donoho D L. Compressed sensing. IEEE Transactions on Information Theory, vol. 52, no. 4, pp.1289-1306, (2006).

DOI: 10.1109/tit.2006.871582

Google Scholar

[2] Candés E. Compressive sampling In Proceedings of International Congress of Mathematicians. Zürich, Switzerland: European Mathematical Society Publishing House, pp.1433-1452, (2006).

Google Scholar

[3] Jiao Li-cheng, Yang Shu-yuan, Liu Fang, Hou biao. Development and Prospect of Compressive Sensing. acta electronica sinica, vol. 39, no. 7, pp.1651-1662, (2011).

Google Scholar

[4] Guo Hai-yan, Yang Zhen. Compressed Speech Signal Sensing Based on Approximate KLT . Journal of Electronices&Information Technology, vol. 31, no. 12, pp.2915-2952, (2009).

Google Scholar

[5] Sun Lin-hui, Yang Zhen, Ye Lei. Speech Compreession and Reconstruction Based on Adaptive Multiscale Compressed Sensing Theory. acta electronica sinica, vol. 39, no. 1, pp.40-45, (2011).

Google Scholar

[6] Gabriel Peyre. Best Baseis Compressed Sensing. IEEE Transcations on Signal Processing, vol. 10, pp.2042-2490, (2010).

Google Scholar

[7] Cai Yong-jia, Li Xin-ping, Ni Li-gang. Grain temperature changing law research. Grain Storage Technology Communication, vol. 5, pp.51-52, (2005).

Google Scholar