Results 311 to 320 of about 555,264 (327)

Distributed compressive sensing in heterogeneous sensor network

Signal Processing, 2016
In 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
openaire   +2 more sources

Improved distributed compressed sensing for smooth signals in wireless sensor networks

International Conference on Computer, Information and Telecommunication Systems, 2016
The technology of the distributed compressed sensing is thought as an extension of compressed sensing and it makes applying multiple signals into compressed sensing possible.
Boyu Li, F. Gao, Xiaoyu Liu, Xia Wang
semanticscholar   +1 more source

Distributed Compressive Sensing Based Spectrum Sensing Method

2018
For 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
openaire   +2 more sources

Distributed compressed sensing for block-sparse signals

2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications, 2011
To 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, Wenbo Wang, Wenbin Guo, Yang Lu   +3 more
openaire   +2 more sources

Perceptual-Based Distributed Compressed Video Sensing

2015 Data Compression Conference, 2015
This 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
openaire   +2 more sources

A Decentralized Reconstruction Algorithm for Distributed Compressed Sensing

Wireless Personal Communications, 2017
This 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, Wenbo Xu, Jiaru Lin, Zhilin Li   +3 more
openaire   +2 more sources

Wyner-Ziv coding for distributed compressive sensing

Sensor Signal Processing for Defence (SSPD 2011), 2011
Distributed compressive sensing (CS) is emerging as a powerful technique of distributed signal processing in various applications such as sensor networks due to its capability of simultaneous sensing and compression. However, since distributed CS is an analog technique, a fundamental open question is to find the best source coding scheme for the ...
Cong Ling, Lu Gan, Su Gao, Kezhi Li
openaire   +2 more sources

Rate-Distortion Theory of Distributed Compressed Sensing

2015
In 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, Enrico Magli, Chiara Ravazzi   +2 more
openaire   +2 more sources

Fast and Storage-Optimized Compressed Domain Vibration Detection and Classification for Distributed Acoustic Sensing

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, Huan Wu, K. Zhu, Huanhuan Liu, Yujia Li, Hua Zheng, Jialong Li, Liyang Shao, P. Shum, Chao Lu   +9 more
semanticscholar   +1 more source

A novel multi-focus image fusion method based on distributed compressed sensing

Journal of Visual Communication and Image Representation, 2020
Guan-Peng Fu, Shaohua Hong, Fulin Li, Lin Wang   +3 more
semanticscholar   +1 more source