Suchergebnisse - "Sparse Recovery Algorithm"

An Efficient Block Sparse Recovery Algorithm for Channel Estimation

Autoren: Long Liu Huiping Duan Jun Fang

Quelle: 2025 IEEE International Workshop on Radio Frequency and Antenna Technologies (iWRF&AT). :250-255

Joint Sparse Recovery Algorithm for Channel Estimation in XL-MIMO Systems

Autoren: Qing Liu He Gao Kaiyue Bai et al.

Quelle: 2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT). :286-290

Resource-Efficient Compressive PPG Sensing Encoders With Best Sensing Matrix and Sparse Recovery Algorithm for IoT Wearable and Edge Devices

Autoren: Jayarani Medakal Anirudhan M. Sabarimalai Manikandan Subrahmanyam Mula et al.

Quelle: IEEE Access, Vol 13, Pp 78571-78591 (2025)

Schlagwörter: Internet of things, Energy efficiency, PPG signal analysis, Compressed sensing, Data compression and encryption, Electrical engineering. Electronics. Nuclear engineering, Sparse recovery algorithms and Wearable health monitoring, TK1-9971

Zugangs-URL: https://doaj.org/article/2f9a1ba1032b49f9ae0a5016ad893008

A Multichannel Sparse Recovery Algorithm With Doppler Compensation Capability for Frequency Agile OFDM Radar

Autoren: Hao Wang Feng Wang Boyang Yuan et al.

Quelle: IEEE Transactions on Instrumentation and Measurement. 74:1-16

Fast Estimation of Complex High-Resolution Range Profiles of Ships via Amplitude–Position Bi-Iterative Sparse Recovery Algorithm

Autoren: Hai-Long Su Peng-Lang Shui

Quelle: IEEE Journal of Oceanic Engineering. 49:870-882

A Sparse Recovery Algorithm Using the Neurodynamic System With Predefined Time Convergence

Autoren: Yiyue Zhu Xing He

Quelle: IEEE Transactions on Circuits and Systems II: Express Briefs. 70:3029-3033

Practical construction of sensing matrices for a greedy sparse recovery algorithm over finite fields

Autoren: Mégane Gammoudi Christian Scheunert Giang T. Nguyen et al.

Quelle: 2023 Data Compression Conference (DCC). :120-129

Sparse recovery algorithm via adaptive grids for linear array SAR 3D sparse imaging

Autoren: Bokun Tian Xiaoling Zhang Chen Wang et al.

Quelle: International Journal of Remote Sensing. 44:78-104

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A Fast Sparse Recovery Algorithm via Resolution Approximation for LASAR 3D Imaging

Autoren: Bokun Tian Xiaoling Zhang Shunjun Wei et al.

Quelle: IEEE Access, Vol 7, Pp 178710-178725 (2019)

Schlagwörter: fast sparse recovery algorithm via resolution approximation, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Compressed sensing, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, LASAR 3D imaging, image segmentation, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08931616.pdf
https://doaj.org/article/2f73437aa0354906867c9a4203ae814a
https://dblp.uni-trier.de/db/journals/access/access7.html#TianZWMSLT19
https://ieeexplore.ieee.org/document/8931616/

Learning-Based Sparse Recovery Algorithm for 3D SAR Imaging

Autoren: Zichen Zhou Shunjun Wei Hao Zhang et al.

Quelle: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. :1304-1307

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Enhancing Hopfield network performance for pattern retrieval using sparse recovery algorithm and Parzen estimator

Autoren: Stanković, Djordje Draganić, Andjela Ioana, Cornel et al.

Weitere Verfasser: Stanković, Djordje Draganić, Andjela Ioana, Cornel et al.

Quelle: Digital Signal Processing. 156:104814

Schlagwörter: [SPI]Engineering Sciences [physics], Pattern retrieval, [SPI] Engineering Sciences [physics], Iterative signal recovery, Parzen estimator, Hopfield neural network, Gradient-descent algorithm

A joint sparse recovery algorithm for coprime adjacent array synthetic aperture radar 3D sparse imaging

Autoren: Jun Shi Shunjun Wei Xiaoling Zhang et al.

Quelle: International Journal of Remote Sensing. 42:6556-6576

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://www.tandfonline.com/doi/full/10.1080/01431161.2021.1939913
https://ui.adsabs.harvard.edu/abs/2021IJRS...42.6560T/abstract

A new greedy sparse recovery algorithm for fast solving sparse representation

Autoren: Zied Bannour Lahaw Hassene Seddik

Quelle: The Visual Computer. 38:2431-2445

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://link.springer.com/article/10.1007/s00371-021-02121-6

An Accurate Sparse Recovery Algorithm for Range-Angle Localization of Targets via Double-Pulse FDA-MIMO Radar

Autoren: Qi Liu Xianpeng Wang Liangtian Wan et al.

Quelle: Wireless Communications and Mobile Computing. 2020:1-12

Schlagwörter: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dateibeschreibung: text/xhtml

Zugangs-URL: https://downloads.hindawi.com/journals/wcmc/2020/6698446.pdf
https://downloads.hindawi.com/journals/wcmc/2020/6698446.pdf
https://dblp.uni-trier.de/db/journals/wicomm/wicomm2020.html#LiuWWHS20
https://www.hindawi.com/journals/wcmc/2020/6698446/

Resolving Interference in Time of Flight Range Sensors via Sparse Recovery Algorithm

Autoren: Swati S. Patil Vandana S. Inamdar

Quelle: Proceedings of the 2020 3rd International Conference on Image and Graphics Processing. :106-112

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dl.acm.org/doi/10.1145/3383812.3383831

Orthogonally weighted $\ell_{2,1}$ regularization for rank-aware joint sparse recovery: algorithm and analysis

Autoren: Petrosyan, Armenak Pieper, Konstantin Tran, Hoang

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Mathematics, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2311.12282

A Sparse Recovery Algorithm for Suppressing Multiple Linear Frequency Modulation Interference in the Synthetic Aperture Radar Image Domain

Autoren: Guanqi Tong Xingyu Lu Jianchao Yang et al.

Quelle: Sensors, Vol 24, Iss 10, p 3095 (2024)

Schlagwörter: sparse recovery, radio frequency interference (RFI), synthetic aperture radar (SAR), alternating direction method of multipliers (ADMM), Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/10/3095; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/a715c9f9793e4a60ae26f6090b688c77

A Sparse Recovery Algorithm Based on Arithmetic Optimization

Autoren: Qingfeng Zhang Dong Hu Chao Tang et al.

Quelle: Electronics; Volume 12; Issue 1; Pages: 162

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, signal processing, compressed sensing, sparse recovery algorithm, arithmetic optimization algorithm, greedy tracking method

Dateibeschreibung: application/pdf

Cyber-Attack Reconstruction via Sliding Mode Differentiation and Sparse Recovery Algorithm: Electrical Power Networks Application

Autoren: Nateghi, Shamila Shtessel, Yuri Barbot, Jean-Pierre et al.

Weitere Verfasser: Nateghi, Shamila Shtessel, Yuri Barbot, Jean-Pierre et al.

Quelle: 2018 15th International Workshop on Variable Structure Systems (VSS). :285-290

Schlagwörter: 2. Zero hunger, 0209 industrial biotechnology, 02 engineering and technology, [INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering

Zugangs-URL: https://inria.hal.science/hal-01947385v1
https://hal.inria.fr/hal-01947385
https://dblp.uni-trier.de/db/conf/vss/vss2018.html#NateghiSBZ018
https://ieeexplore.ieee.org/document/8460426

Cyber Attack Reconstruction of Nonlinear Systems via Higher-Order Sliding-Mode Observer and Sparse Recovery Algorithm

Autoren: Yuri B. Shtessel Christopher Edwards Jean-Pierre Barbot et al.

Quelle: 2018 IEEE Conference on Decision and Control (CDC). :5963-5968

Schlagwörter: 2. Zero hunger, 0209 industrial biotechnology, 02 engineering and technology