Results 91 to 100 of about 3,276,837 (200)

Energy constraint Bayesian compressive sensing detection algorithm

Tongxin xuebao, 2012
To solve the shortage of nodes handling ability and limited energy in wireless sensor network,an energy constraint Bayesian compressive sensing detection algorithm was proposed.To balance the energy of the whole network and prevent network paralyzed due ...
Chun-hui ZHAO, Yun-long XU
doaj   +2 more sources

Secure Wireless Communications Based on Compressive Sensing: A Survey

IEEE Communications Surveys and Tutorials, 2019
Compressive sensing (CS) has become a popular signal processing technique and has extensive applications in numerous fields such as wireless communications, image processing, magnetic resonance imaging, remote sensing imaging, and anology to information ...
Yushu Zhang, Yong Xiang, Leo Yu Zhang, Yue Rong, Song Guo   +4 more
semanticscholar   +1 more source

Robust Mixed-Rate Region-of-Interest-Aware Video Compressive Sensing for Transmission Line Surveillance Video

Information
Classic video compression methods usually suffer from long encode time and requires large memories, making it hard to deploy on edge devices; thus, video compressive sensing, which requires less resources during encoding, is receiving more attention.
Lisha Gao, Zhoujun Ma, Shuo Han, Tiancheng Zhao, Qingcheng Liu, Zhangjie Fu   +5 more
doaj   +1 more source

Compressive Sensing of Medical Images With Confidentially Homomorphic Aggregations

IEEE Internet of Things Journal, 2019
Efficient medical image sampling and transferring becomes one of key research areas in computer science and healthcare application industries. In particular, the technique of body area networking and personal area networking are very useful in various ...
Licheng Wang, Lixiang Li, Jin Li, Jing Li, B. Gupta, Xia Liu   +5 more
semanticscholar   +1 more source

(Compressed) sensing and sensibility [PDF]

Proceedings of the National Academy of Sciences, 2011
For decades, researchers have built computer models of molecular interactions to predict properties of new molecules (1). These models take the form of potential functions, equations that can be used predict the molecular energy of interaction. Potential functions have very broad applications. Other than ab initio quantum mechanics-based approaches (2),
openaire   +2 more sources

Joint Communication and Radar Sensing in 5G Mobile Network by Compressive Sensing

International Symposium on Communications and Information Technologies, 2019
There is growing interest in integrating communication and radar sensing into one system. However, very limited results are reported on how to realize sensing using complicated mobile signals when joint communication and radar sensing (JCAS) is applied ...
Md. Lushanur Rahman, P. Cui, J. A. Zhang, Xiaojing Huang, Y. J. Guo, Zhiping Lu   +5 more
semanticscholar   +1 more source

DCT and SVD Sparsity-Based Compressive Learning on Lettuces Classification

Journal of Applied Engineering and Technological Science
Compressive Sensing (CS) technique in image compression represents efficient signal which offering solutions in image classification where the resources are constrained especially on a large image processing, storage resource, and computing performance.
Lutvi Murdiansyah Murdiansyah, Gelar Budiman, Indrarini Irawati, Sugondo Hadiyoso, A. V. Senthil Kumar   +4 more
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Sparse Three-dimensional Imaging Based on Hough Transform for Forward-looking Array SAR in Low SNR

Leida xuebao, 2017
The performance of sparse reconstruction algorithm of compressive sensing in low Signal-to-Noise Ratio (SNR) is lower, and the quality of sparse three-dimensional imaging for forward-looking array synthetic aperture radar in low SNR is reduced greatly ...
Liu Xiangyang, Yang Jungang, Meng Jin, Zhang Xiao, Niu Dezhi   +4 more
doaj   +1 more source

Toward deterministic compressed sensing [PDF]

Proceedings of the National Academy of Sciences, 2013
During the past decade, compressed sensing has delivered significant advances in the theory and application of measuring and compressing data. Consider capturing a 10-megapixel image with a digital camera. Emailing an image of this size requires an unnecessary amount of storage space and bandwidth.
openaire   +2 more sources

K-cluster-valued compressive sensing for imaging

EURASIP Journal on Advances in Signal Processing, 2011
The success of compressive sensing (CS) implies that an image can be compressed directly into acquisition with the measurement number over the whole image less than pixel number of the image.
Xu Mai, Lu Jianhua
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