Compressed sensing of diffusion fields under heat equation constraint

Mohammad Rostami, Ngai Man Cheung, Tony Q.S. Quek

研究成果: Conference contribution

17 引文 斯高帕斯(Scopus)

摘要

Reconstructing a diffusion field from spatiotemporal measurements is an important problem in engineering and physics with applications in temperature flow, pollution dispersion, and disease epidemic dynamics. In such applications, sensor networks are used as spatiotemporal sampling devices and a relatively large number of spatiotemporal measurements may be required for accurate source field reconstruction. Consequently, due to limitations on the number of nodes in the sensor networks as well as hardware limitations of each sensor, situations may arise where the available spatiotemporal sampling density does not allow for recovery of field details. In this paper, the above limitation is resolved by means of using compressed sensing (CS). We propose to exploit the intrinsic property of diffusive fields as side information to improve the reconstruction results of classic CS which we call diffusive compressed sensing (DCS). Experimental results demonstrate the effectiveness and usefulness of the proposed method in substantial data savings while producing estimates of higher accuracy, as compared to classic CS-base estimates.

原文English
主出版物標題2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
頁面4271-4274
頁數4
DOIs
出版狀態Published - 2013 10月 18
事件2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
持續時間: 2013 5月 262013 5月 31

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(列印)1520-6149

Other

Other2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
國家/地區Canada
城市Vancouver, BC
期間13-05-2613-05-31

All Science Journal Classification (ASJC) codes

  • 軟體
  • 訊號處理
  • 電氣與電子工程

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