Block-based Adaptive Compressed Sensing with Feedback for DCVS

jinxiu zhu; Yao Zhang; Guangjie Han; Chuan Zhu

9th International Conference on Communications and Networking in China

Research Article

Block-based Adaptive Compressed Sensing with Feedback for DCVS

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.chinacom.2014.256893,
    author={jinxiu zhu and Yao Zhang and Guangjie Han and Chuan Zhu},
    title={Block-based Adaptive Compressed Sensing with Feedback for DCVS},
    proceedings={9th International Conference on Communications and Networking in China},
    publisher={IEEE},
    proceedings_a={CHINACOM},
    year={2015},
    month={1},
    keywords={adaptive compressed sensing； side information； residual variance； multihypothesis prediction},
    doi={10.4108/icst.chinacom.2014.256893}
}

jinxiu zhu
Yao Zhang
Guangjie Han
Chuan Zhu
Year: 2015
Block-based Adaptive Compressed Sensing with Feedback for DCVS
CHINACOM
IEEE
DOI: 10.4108/icst.chinacom.2014.256893

jinxiu zhu¹^,*, Yao Zhang¹, Guangjie Han², Chuan Zhu³

1: 1Department of Information and Communication Systems, Hohai University, Changzhou, China 2Changzhou Key Laboratory of Sensor Networks and Environmental Sensing, Changzhou, China
2: 1Department of Information and Communication Systems, Hohai University, Changzhou, China 3Guangdong Provincial Key Lab. of Petrochemical Equipment Fault Diagnosis, Guangdong University of Petrochemical Technology, Maoming, China
3: 1Department of Information and Communication Systems, Hohai University, Changzhou, China

*Contact email: zhujinxiu1972@163.com

Abstract

In this paper, we propose a rate adaptive compressed sensing for block-based DCVS framework, in which the sampling rate is estimated at the decoder side and can be sent back to the encoder via the return channel. The assignment of measurements rate (MR) is depending on the variance of the residual measurements between SI and the reconstructed CS frame. By comparing with the encoder-based scheme, the proposed scheme can achieve a comparable result with more stable and smaller transmission rate, which can briefly increase the transform efficiency as well as reduce the band width.

Keywords: adaptive compressed sensing； side information； residual variance； multihypothesis prediction

Published: 2015-01-21
Publisher: IEEE
Appears in: IEEEXplore

: http://dx.doi.org/10.4108/icst.chinacom.2014.256893

Block-based Adaptive Compressed Sensing with Feedback for DCVS

Abstract

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