Projection matrix optimisation for compressive sensing based applications in embedded systems

Shen, Yiran and Hu, Wen and Yang, Mingrui and Wei, Bo and Chou, Chun Tung (2013) Projection matrix optimisation for compressive sensing based applications in embedded systems. In: Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems. Association for Computing Machinery (ACM), ITA, p. 2. ISBN 9781450320276

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Abstract

The information-preserving sampling properties of compressive sensing have found a number of successful applications, such as sensor scheduling, localisation and tracking to deal with the resource constraints of the embedded systems. In this paper, we investigate an approach to improve the performance of compressive sensing applications through a novel strategy for optimising the projection matrix. We formulate the projection matrix optimisation problem and apply greedy algorithm to solve the optimisation problem efficiently. We evaluate the proposed approach by an emerging background subtraction method designed specifically for the embedded systems and show the proposed approach outperforms existing approaches significantly with little overhead.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
171660
Deposited By:
Deposited On:
13 Jul 2022 15:05
Refereed?:
Yes
Published?:
Published
Last Modified:
13 Jul 2022 15:05