Results 301 to 310 of about 555,264 (327)

Inner–Outer Support Set Pursuit for Distributed Compressed Sensing

IEEE Transactions on Signal Processing, 2018
We address the distributed compressed sensing problem of reconstructing a sequence of jointly sparse signals under the condition of an inaccurate and insufficient estimate of the common support set.
Kaiyu Huang, Jing Liu
semanticscholar   +1 more source

Distributed compressive sensing of light field

SPIE Proceedings, 2015
The light field camera array can be regarded as distributed source. The image sequence captured by a camera array contains the inter-correlation and intra-correlation. In order to utilize the correlation, a joint sparsity model was established to combine the light field with distributed compressive sensing, and a recovery algorithm was proposed for the
Wei Shen, Ying Zhou, Zhi-jiang Zhang, Rui Lei   +3 more
openaire   +2 more sources

Compressed Sensing Based on K-SVD for Brillouin Optical Fiber Distributed Sensors

IEEE Sensors Journal, 2022
The continuous operation of Brillouin optical fiber distributed sensors requires the acquisition and processing of large amount of data that imposes ample pressure on the data acquisition systems and storage devices.
Yongtao Dong, Ya-nan Yang, A. Azad, Zengsen Yang, Kuanglu Yu, Shuang Zhao   +5 more
semanticscholar   +1 more source

Parallel pursuit for distributed compressed sensing

2013 IEEE Global Conference on Signal and Information Processing, 2013
We develop a greedy (pursuit) algorithm for a distributed compressed sensing problem where multiple sensors are connected over a de-centralized network. The algorithm is referred to as distributed parallel pursuit and it solves the distributed compressed sensing problem in two stages; first by a distributed estimation stage and then an information ...
Dennis Sundman, Saikat Chatterjee, Mikael Skoglund   +2 more
openaire   +2 more sources

A New Satellite Image Fusion Method Based on Distributed Compressed Sensing

International Conference on Information Photonics, 2018
In this paper, we propose a method for fusion of low-resolution multispectral (LRM) image and high-resolution panchromatic (HRP) image to obtain high-resolution multispectral (HRM) image based on distributed compressed sensing (DCS).
Fulin Li, Shaohua Hong, L. Wang
semanticscholar   +1 more source

Joint Compression and Encryption of Distributed Sources Based on Wavelet Transform and Semi-Tensor Product Compressed Sensing

IEEE Sensors Journal, 2022
Aiming at the shortage of data transmission security and efficiency in wireless distributed transient pressure testing system, a new distributed information source joint compression and encryption scheme is proposed in this paper by combining wavelet ...
Bo Xu, Zhenglin Xie, Zhi Zhang, Tailin Han, Hong Liu, Mingchi Ju, Xuan Liu   +6 more
semanticscholar   +1 more source

Distributed compressed sensing‐based multiuser channel estimation for frequency‐selective hybrid mmWave MIMO system

International Journal of Communication Systems, 2018
The multiuser millimeter wave (mmWave) MIMO system has been considered as a promising technology for future 5G cellular networks since high volume of data rates can be achieved by simultaneously supporting multiple users.
Ruoyu Zhang, Jiayan Zhang, Yulong Gao, Honglin Zhao   +3 more
semanticscholar   +1 more source

Distributed compressive sensing vs. dynamic compressive sensing: improving the compressive line sensing imaging system through their integration

SPIE Proceedings, 2015
In recent years, a compressive sensing based underwater imaging system has been under investigation: the Compressive Line Sensing (CLS) imaging system. In the CLS system, each line segment is sensed independently; with regard to signal reconstruction, the correlation among the adjacent lines is exploited via the joint sparsity in the distributed ...
Anni K. Vuorenkoski, Weilin Hou, Frank M. Caimi, Sue Gong, Fraser Dalgleish, Bing Ouyang   +5 more
openaire   +2 more sources

Number of compressed measurements needed for noisy distributed compressed sensing

2012 IEEE International Symposium on Information Theory Proceedings, 2012
In this paper, we consider a data collection network (DCN) system where sensors take samples and transmit them to a Fusion Center (FC). Signal correlation is modeled with signal sparseness. The number of compressed measurements which allows correct signal recovery at FC is investigated.
Sangjun Park, Heung-No Lee
openaire   +2 more sources

Satellite microvibration measurement based on distributed compressed sensing

Measurement, 2022
Li Li, Miaomiao Zhou, Ye Zhu, Ya Dai, Xuwen Liang   +4 more
semanticscholar   +1 more source