University of Cambridge > Talks.cam > Computer Laboratory Digital Technology Group (DTG) Meetings > (Research) Data acquisition via compressive sensing in wireless sensor networks / (Skills) Best Papers Easter 2010

(Research) Data acquisition via compressive sensing in wireless sensor networks / (Skills) Best Papers Easter 2010

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Andrew Rice.

Data acquisition via compressive sensing in wireless sensor networks, Wei Chen

Compressive sensing (CS), also called compressed sensing and Sub-Nyquist sampling, has a surprising property that one can recover sparse signals from far fewer samples than is predicted by the Nyquist-Shannon sampling theorem. Wireless sensor networks (WSN) provide the ability to monitor various physical characteristics of the real world, such as sound, temperature, humidity, etc., by distributing a large number of inexpensive small devices in the detected environment. We apply CS in WSN for the benefit of saving energy, computing quantity and transmission. I will introduce my first year’s work on this topic.

This talk is part of the Computer Laboratory Digital Technology Group (DTG) Meetings series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2021 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity