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Message-passing algorithms for compressed sensing [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2009 Compressed sensing aims to undersample certain high-dimensional signals yet accurately reconstruct them by exploiting signal characteristics. Accurate reconstruction is possible when the object to be recovered is sufficiently sparse in a known basis ...
David L. Donoho +2 more
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Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications
Applied Sciences, 2020 With the development of intelligent networks such as the Internet of Things, network scales are becoming increasingly larger, and network environments increasingly complex, which brings a great challenge to network communication.
Lixiang Li +5 more
doaj +2 more sources
Compressed Sensing for Biomedical Photoacoustic Imaging: A Review [PDF]
SensorsPhotoacoustic imaging (PAI) is a rapidly developing emerging non-invasive biomedical imaging technique that combines the strong contrast from optical absorption imaging and the high resolution from acoustic imaging.
Yuanmao Wang +3 more
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Compressed Sensing Based Channel Estimation for Movable Antenna Communications [PDF]
IEEE Communications Letters, 2023 In this letter, we study the channel estimation for wireless communications with movable antenna (MA), which requires to reconstruct the channel response at any location in a given region where the transmitter/receiver is located based on the channel ...
Wenyan Ma, Lipeng Zhu, Rui Zhang
semanticscholar +1 more source
Single-Shot Compressed Imaging via Random Phase Modulation
Applied Sciences, 2022 Compressed sensing (CS) provides an innovative framework for signal sampling, which enables accurate recovery of the sparse or compressible signal from a small set of linear measurements far fewer than the Nyquist rate in traditional signal processing ...
Cheng Zhang +5 more
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Distributed Compressed Sensing of Hyperspectral Images According to Spectral Library Matching
IEEE Access, 2021 The ever-increasing resolution puts tremendous pressure to the onboard hyperspectral imaging system. Compressed sensing technology is one of the important ways to solve this problem.
Hua Xiao, Zhongliang Wang, Xueying Cui
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Compressed Sensing: Theory and Applications
Journal of Physics: Conference Series, 2023 Compressed sensing is a new technique for solving underdetermined linear systems. Because of its good performance, it has been widely used in academia.
Hanbo Wang
semanticscholar +1 more source
Intelligent Meta-Imagers: From Compressed to Learned Sensing [PDF]
Applied Physics Reviews, 2021 Computational meta-imagers synergize metamaterial hardware with advanced signal processing approaches such as compressed sensing. Recent advances in artificial intelligence (AI) are gradually reshaping the landscape of meta-imaging. Most recent works use
Chlo'e Saigre-Tardif +4 more
semanticscholar +1 more source
Fully Learnable Model for Task-Driven Image Compressed Sensing
Sensors, 2021 This study primarily investigates image sensing at low sampling rates with convolutional neural networks (CNN) for specific applications. To improve the image acquisition efficiency in energy-limited systems, this study, inspired by compressed sensing ...
Bowen Zheng +3 more
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An Image Compression Encryption Algorithm Based on Chaos and ZUC Stream Cipher
Entropy, 2022 In order to improve the transmission efficiency and security of image encryption, we combined a ZUC stream cipher and chaotic compressed sensing to perform image encryption.
Xiaomeng Song +3 more
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