181 / 2019-04-09 19:17:47
Compressed sensing with model based reconstruction
compressed sensing,sparse signal,model based reconstruction,nonuniform sampling,water quality monitoring
全文待审
Jan Saliga / Technical university of Kosice
Imrich Andras / Technical university of Kosice
Linus Michaeli / Technical university of Kosice
This work presents a way of reducing the power consumption of the existing wireless sensor network used for monitoring of water quality. The improvement of sensor nodes energy efficiency is achieved by utilizing compressed sensing and lowering the average sampling rate. A novel continuous model based reconstruction method is proposed, utilizing a water parameter signal model rather than a discrete dictionary. No trained dictionary and hence no signal database is required a priori to compressed sensing application.
重要日期
  • 会议日期

    09月17日

    2019

    09月19日

    2019

  • 03月17日 2019

    初稿截稿日期

  • 04月30日 2019

    初稿录用通知日期

  • 05月31日 2019

    终稿截稿日期

  • 09月19日 2019

    注册截止日期

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