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A survey on distributed compressed sensing: theory and applications

Frontiers of Computer Science, 2014
The compressed sensing (CS) theory makes sample rate relate to signal structure and content. CS samples and compresses the signal with far below Nyquist sampling frequency simultaneously. However, CS only considers the intra-signal correlations, without taking the correlations of the multi-signals into account.
Hongpeng Yin   +3 more
openaire   +1 more source

A robust and efficient algorithm for distributed compressed sensing

Computers & Electrical Engineering, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qun Wang, Zhiwen Liu
openaire   +2 more sources

Distributed Video Coding Based on Compressed Sensing

2012 IEEE International Conference on Multimedia and Expo Workshops, 2012
Compressed Sensing (CS) is a new approach to signal acquisition that can potentially allow us to design very simple video encoders that can be implemented on mobile devices with limited resources. However, previously proposed CS based video codec either require a conventional video codec or a feedback channel for effective operation, thus increasing ...
Yousuf Baig   +2 more
openaire   +1 more source

Distributed Compressive Sensing for Correlated Information Sources

2017
The abstract should summarize the contents of the paper and should Distributed Compressive Sensing (DCS) improves the signal recovery performance of multi signal ensembles by exploiting both intra- and inter-signal correlation and sparsity structure. In this paper, we propose a novel algorithm, which improves detection performance even without a priori-
Jeong-Hun Park   +5 more
openaire   +1 more source

Methods for Distributed Compressed Sensing

Journal of Sensor and Actuator Networks, 2014
Mikael Skoglund   +2 more
exaly  

Dictionary learning based reconstruction for distributed compressed video sensing

Journal of Visual Communication and Image Representation, 2013
Bin Song, Zhiliang Qiu
exaly  

Satellite microvibration measurement based on distributed compressed sensing

Measurement: Journal of the International Measurement Confederation, 2022
exaly  

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