Nonlinear compressive reduced basis approximation for PDE’s by Cohen, Albert, Farhat, Charbel, Maday, Yvon, Somacal, Agustin

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A New Health Condition Detection Method for Planetary Gears Based on Modified Distributed Compressed Sensing and Multiscale Symbol Dynamic Entropy by Zhe Wu, Qiang Zhang, Zeyu Ma, Jialong Lu, Zhiying Qin

“…A distributed compression sensing parameter optimization algorithm based on Rényi entropy is proposed, which uses improved distributed compression sensing technology to simultaneously sample, compress, and denoise the multisource vibration data of rotating machinery. …”
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Computationally Efficient Compressed Sensing-Based Method via FG Nyström in Bistatic MIMO Radar with Array Gain-Phase Error Effect by Jurong Hu, Evans Baidoo, Lei Zhan, Ying Tian

“…In this paper, a robust angle estimator for uncorrelated targets that employs a compressed sense (CS) scheme following a fast greedy (FG) computation is proposed to achieve improved computational efficiency and performance for the bistatic MIMO radar with unknown gain-phase errors. …”
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A note on orthogonal matching pursuit under restricted isometry property by Xueping Chen, Jianzhong Liu, Xianwen Ding, Hengzhen Huang

Subjects: “…compressed sensing…”
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An Accelerated Successive Convex Approximation Scheme With Exact Step Sizes for L1-Regression by Lukas Schynol, Moritz Hemsing, Marius Pesavento

Subjects: “…Compressed sensing…”
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A non-local regularization-based fractional-order total variational compressive sensing algorithm for effective recovery of Geiger-mode avalanche photodiode LiDAR images by Yuchao Wang, Xuyang Wei, Chunyang Wang, Xuelian Liu, Da Xie, Kai Yuan, Rong Li

“…To address the challenge of low accuracy of the range image recovery of Geiger-mode avalanche photodiode (GM-APD) LiDAR in low signal-to-background ratios (SBRs), this paper proposes a non-local regularization-based fractional-order total variational compressive sensing (CS) algorithm for recovering GM-APD LiDAR images. …”
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A comprehensive review of metasurface-assisted direction-of-arrival estimation by Huang Min, Li Ruichen, Zou Yijun, Zheng Bin, Qian Chao, Jin Hui, Chen Hongsheng

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Padding-enabled real-time high-fidelity temporal single pixel imaging by Ryota Keyaki, Jin Matsuno, Susumu Fukatsu

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A Novel Gridless Non-Uniform Linear Array Direction of Arrival Estimation Approach Based on the Improved Alternating Descent Conditional Gradient Algorithm for Automotive Radar Sys... by Mingxiao Shao, Yizhe Fan, Yan Zhang, Zhe Zhang, Jie Zhao, Bingchen Zhang

Subjects: “…compressive sensing…”
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A novel transmission-augmented deep unfolding network with consideration of residual recovery by Zhijie Zhang, Huang Bai, Ljubiša Stanković, Junmei Sun, Xiumei Li

Subjects: “…Compressive sensing…”
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SCWOMP Recovery Algorithm for 5G MIMO Communication Symbol Detection by Tao Fu, Yanfeng Yu, Cheng Liu

“…Then, the improved compressed sensing recovery algorithm is simulated and analyzed. …”
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Improving Rare Events Detection in WSN through Cluster-Based Power Control Mechanism by Zakia Jellali, Leïla Najjar Atallah, Sofiane Cherif

“…Rare events detection is one of the main applications in Wireless Sensor Networks (WSN) and is currently a central concern of a vast literature. Compressed Sensing (CS) theory has been proved to be quite adapted to this objective. …”
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Music Segmentation Algorithm Based on Self-Adaptive Update of Confidence Measure by Jianhua Li

“…According to the theory of compressed sensing, the music fragments are denoised, and thus the denoised signals are subjected to short-term correlation analysis. …”
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Robust Linear Neural Network for Constrained Quadratic Optimization by Zixin Liu, Yuanan Liu, Lianglin Xiong

“…Finally, a numerical simulation example and an application example in compressed sensing problem are also given to illustrate the validity of the criteria established in this paper.…”
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Accelerated dynamic light sheet microscopy: unifying time-varying patterned illumination and low-rank and sparsity constrained reconstruction by Marco Tobia Vitali, Alessia Candeo, Andrea Farina, Paolo Pozzi, Alessia Brix, Andrea Bassi, Teresa M Correia

“…To address this limitation, we recently developed spatially modulated Selective Volume Illumination Microscopy, which utilizes a compressed sensing approach to reconstruct the entire imaging volume from measurements where multiple planes are illuminated simultaneously using spatially modulated light. …”
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Comparing Two Approaches for Point-Like Scatterer Detection by Angela Dell’Aversano, Giovanni Leone, Raffaele Solimene

“…Accordingly, in this paper we compare the time reversal-MUSIC and the compressed sensing. The study develops through numerical examples and focuses on the role of noise in data and mutual coupling between the scatterers.…”
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Sparse Optimization of Vibration Signal by ADMM by Song Wanqing

“…In this paper, the alternating direction method of multipliers (ADMM) algorithm is applied to the compressed sensing theory to realize the sparse optimization of vibration signal. …”
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Global convergence in a modified RMIL-type conjugate gradient algorithm for nonlinear systems of equations and signal recovery by Yan Xia, Songhua Wang

“… (4) Numerical experiments indicated that the proposed algorithm surpasses existing similar algorithms in both efficiency and stability, particularly when applied to large scale nonlinear systems of equations and signal recovery problems in compressed sensing.…”
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SVM Intrusion Detection Model Based on Compressed Sampling by Shanxiong Chen, Maoling Peng, Hailing Xiong, Xianping Yu

“…We use compressed sampling method in the compressed sensing theory to implement feature compression for network data flow so that we can gain refined sparse representation. …”
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MRI Reconstruction with Separate Magnitude and Phase Priors Based on Dual-Tree Complex Wavelet Transform by Wei He, Linman Zhao

“…The methods of compressed sensing magnetic resonance imaging (CS-MRI) can be divided into two categories roughly based on the number of target variables. …”
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