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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
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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
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Integrated Sensing and Communication With mmWave Massive MIMO: A Compressed Sampling Perspective [PDF]
IEEE Transactions on Wireless Communications, 2022 Integrated sensing and communication (ISAC) has opened up numerous game-changing opportunities for realizing future wireless systems. In this paper, we propose an ISAC processing framework relying on millimeter-wave (mmWave) massive multiple-input ...
Zhen Gao +6 more
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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
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Compressed Sensing Approach for Physiological Signals: A Review
IEEE Sensors Journal, 2023 The immense progress in physiological signal acquisition and processing in health monitoring allowed a better understanding of patient disease detection and diagnosis.
Bharat Lal +3 more
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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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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
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