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Distributed compressive sensing in heterogeneous sensor network
Signal Processing, 2016In this paper, we apply distributed compressive sensing (DCS) in heterogeneous sensor network (HSN). Combining different types of measurement matrices and different numbers of measurements, we firstly investigate three different scenarios in which HSN is used for signal acquisition.
Jing Liang, Chengchen Mao
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Distributed compressed sensing for block-sparse signals
2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, 2011To address the problems of high sampling rates, shadow fading and additive noise from the receiver, in this paper, a distributed compressed sampling (DCS) and centralized reconstruction approach which utilize the spatial diversity against fading channels is proposed.
Xing Wang +3 more
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Perceptual-Based Distributed Compressed Video Sensing
2015 Data Compression Conference, 2015This paper proposes an approach of compressed sensing (CS) of video in which distributed video coding DVC and CS are integrated as in [1], and the sensing matrix is modulated in suit of [2] but with proposed fixed weighting strategy to certain DCT coefficients in an effort to improve the visual quality of reconstruction.
Sawsan Elsayed, Maha Elsabrouty
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Distributed Compressive Sensing Based Spectrum Sensing Method
2018For multi-antenna system, the difficulties of preforming spectrum sensing are high sampling rate and hardware cost. To alleviate these problems, we propose a novel utilization of distributed compressive sensing for the multi-antenna case. The multi-antenna signals first are sampled in terms of distributed compressive sensing, and then the time-domain ...
Yulong Gao, Yongkui Ma, Yanping Chen
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A Decentralized Reconstruction Algorithm for Distributed Compressed Sensing
Wireless Personal Communications, 2017This paper considers the distributed compressed sensing (DCS), where each node has a common component and an innovation component. Most existing reconstruction methods for this DCS model are actually centralized, where the measurements of each signal are utilized together at a certain node.
Yupeng Cui +3 more
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Journal of Lightwave Technology
Distributed acoustic sensing (DAS) is an attractive technology that can turn existing fibre optic networks to real-time distributed vibration sensors.
Xingliang Shen +9 more
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Distributed acoustic sensing (DAS) is an attractive technology that can turn existing fibre optic networks to real-time distributed vibration sensors.
Xingliang Shen +9 more
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Simple and efficient algorithm for distributed compressed sensing
2008 IEEE Workshop on Machine Learning for Signal Processing, 2008In this paper we propose a new iterative thresholding algorithm for distributed compressed sensing (CS) based on a set of local cost functions referred as HALS-CS algorithm (compare with). This algorithm allows reconstructing all sources simultaneously by processing row by row of the compressed signals. Moreover, with an adaptive nonlinearly decreasing
Andrzej Cichocki +2 more
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Rate-Distortion Theory of Distributed Compressed Sensing
2015In this chapter, correlated and distributed sources without cooperation at the encoder are considered. For these sources, the best achievable performance in the rate-distortion sense of any distributed compressed sensing scheme is derived, under the constraint of high-rate quantization.
Giulio Coluccia +2 more
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A novel multi-focus image fusion method based on distributed compressed sensing
Journal of Visual Communication and Image Representation, 2020Guan-Peng Fu +3 more
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Application of distributed compressed sensing for GMTI purposes
IET International Conference on Radar Systems (Radar 2012), 2012The first step of ground moving target indication is the differentiation between moving and nonmoving objects. Using sparsity based methods for this purpose is often constrained by the nonsparse characteristic of the nonmoving clutter. In this paper we present a new approach for moving target indication based on distributed compressed sensing, a ...
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