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Optimal quantization for distributed compressive sensing | IEEE Conference Publication | IEEE Xplore

Optimal quantization for distributed compressive sensing


Abstract:

In large scale distributed sensing systems such as wireless sensor networks (WSNs), Distributed Source Coding Methods can be difficult to apply, due to lack of signal sta...Show More

Abstract:

In large scale distributed sensing systems such as wireless sensor networks (WSNs), Distributed Source Coding Methods can be difficult to apply, due to lack of signal statistics. Distributed Compressive Sensing (DCS) emerges as a cure to this problem. Moreover, the size of the sensor reports on distributed sensing is limited due to bandwidth and battery power limitations. In this study, we investigate the optimal non-linear quantization with Lloyd-Max method for DCS under unknown signal statistics.
Date of Conference: 15-18 May 2017
Date Added to IEEE Xplore: 29 June 2017
ISBN Information:
Conference Location: Antalya, Turkey

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