Low-Complexity Spatial-Temporal Filtering Method via Compressive Sensing for Interference Mitigation in a GNSS Receiver by Chung-Liang Chang, Guo-Shing Huang

“…A compressive sensing based array processing method is proposed to lower the complexity, and computation load of array system and to maintain the robust antijam performance in global navigation satellite system (GNSS) receiver. …”
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Bearing fault diagnosis method based on improved compressed sensing and deep multi-kernel extreme learning machine by FU Qiang, HU Dong, YANG Tongliang, LUO Guoqing, TAN Weimin

Subjects: “…Compressed sensing…”
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Compressive Sensing Based Bayesian Sparse Channel Estimation for OFDM Communication Systems: High Performance and Low Complexity by Guan Gui, Li Xu, Lin Shan, Fumiyuki Adachi

“…To improve the estimation performance, we proposed a compressive sensing based Bayesian sparse channel estimation (BSCE) method which cannot only exploit the channel sparsity but also mitigate the unexpected channel uncertainty without scarifying any computational complexity. …”
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Penggunaan Compressive Sensing pada Pengenalan Huruf dengan Tulisan Tangan Menggunakan Metode K-Nearest Neighbor by Zalfa Alif Muhammad, Gelar Budiman, Sofia Saidah

“…Dalam penelitian ini, dilakukan kompresi dengan teknik CS (Compressive Sensing). Penggunaan CS difokuskan terhadap pengenalan huruf kapital dan angka tulisan tangan yang didapatkan dari sebelas mahasiswa dengan beberapa skenario. …”
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Blind adaptive matching pursuit algorithm for signal reconstruction based on sparsity trial and error by Wen-biao TIAN, Zheng FU, Guo-sheng RUI

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Adaptive compressed spectrum sensing based on optimized measurement matrix by Wei-gang WANG, Zhen YANG, Bin GU, Hai-feng HU

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Application of Two-Dimensional Compressive Sensing to Wavelet Method of Moments for Fast Analysis of Wide-Angle Electromagnetic Scattering Problems by Yi Liu, Qi Qi, Xinyuan Cao, Mingsheng Chen, Guoqing Deng, Zhixiang Huang, Xianliang Wu

“…To efficiently solve the electromagnetic scattering problems over a wide incident angle, a novel scheme by introducing the two-dimensional compressive sensing theory into the wavelet method of moments is proposed. …”
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AI-Assisted Compressed Sensing Enables Faster Brain MRI for the Elderly: Image Quality and Diagnostic Equivalence with Conventional Imaging by Gu W, Yang C, Wang Y, Hu W, Wu D, Cai S, Hong G, Hu P, Zhang Q, Dai Y

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Nonparametric Bayesian dictionary learning algorithm based on structural similarity by Daoguang DONG, Guosheng RUI, Wenbiao TIAN, Jian KANG, Ge LIU

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A wideband spectrum sensing approach based on sub-band matching selection by Yuzhi YAN, Youming LI, Mingchen YU, Caimei FU, Guili ZHOU

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Sparse expression and sensing of fast fading channel for OFDM systems with imperfect carrier synchronization by Yong FANG, Wei-jie ZHAO, Min WANG

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Denoising and reconstruction of evaporation duct based on quadratic optimal threshold approximation message passing method by Guosheng RUI, Ge LIU, Wenbiao TIAN, Daoguang DONG, Yanan ZHANG

Subjects: “…compressed sensing…”
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n-FFT COMPRESSED SENSING ALGORITHM OF SMART DIMENSIONALITY REDUCTION METHOD AND ITS APPLICATION IN FEATURE EXTRACTION AND CLASSIFICATION OF GEAR SYSTEM by CHEN Xiao, HUANG ChuanJin

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A Novel Compressed Sensing Method for Magnetic Resonance Imaging: Exponential Wavelet Iterative Shrinkage-Thresholding Algorithm with Random Shift by Yudong Zhang, Jiquan Yang, Jianfei Yang, Aijun Liu, Ping Sun

“…In the last decade, various rapid MRI techniques on the basis of compressed sensing (CS) were proposed. However, both computation time and reconstruction quality of traditional CS-MRI did not meet the requirement of clinical use. …”
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A Hybrid Approach for Fast Computation of Multiple Incident Angles Electromagnetic Scattering Problems with Compressive Sensing and Adaptive Cross Approximation by Guo-hua Wang, Yu-fa Sun

“…A hybrid compressive approach for fast computation of the electromagnetic scattering problems with multiple incident angles is proposed. The compressive sensing (CS) technique is firstly introduced to the method of moment (MoM) to reduce the number of the right-hand sides (RHS), but since the resulting excitation matrix contains linear dependency and has low-rank characteristics, the adaptive cross approximation (ACA) algorithm is used to recompress such excitation matrix, keeping only the necessary physical information. …”
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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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Time-varying channel estimation in reconfigurable intelligent surface assisted communication system by Kai SHAO, Ben LU, Guangyu WANG

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Deep Learning Model for CS-Based Signal Recovery for IRS-Assisted Near-Field THz MIMO System by Vaishali Sharma, Prakhar Keshari, Sanjeev Sharma, Kuntal Deka, Ondrej Krejcar, Vimal Bhatia

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Adaptive Sparse Transform for Wireless Sensor Network Data by Xuan Chen

Subjects: “…compressed sensing…”
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