Výsledky vyhledávání - Improved convolutional sparse coding

Noncontact Heart Rate Measurement Based on an Improved Convolutional Sparse Coding Method Using IR-UWB Radar

Autoři: Pengfei Wang Fugui Qi Miao Liu a další

Zdroj: IEEE Access, Vol 7, Pp 158492-158502 (2019)

Témata: finite-difference time-domain, heart rate, 0202 electrical engineering, electronic engineering, information engineering, Convolutional sparse coding, respiration rate, ultrawideband radar, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, noise-assisted method, TK1-9971

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08887436.pdf
https://doaj.org/article/a5f7982a1aa84aa29ca6573d8924cf63
https://dblp.uni-trier.de/db/journals/access/access7.html#WangQLLXZLW19
https://ieeexplore.ieee.org/document/8887436/
https://doaj.org/article/a5f7982a1aa84aa29ca6573d8924cf63

Multistate fault diagnosis strategy for bearings based on an improved convolutional sparse coding with priori periodic filter group

Autoři: Changkun Han Wei Lu Huaqing Wang a další

Zdroj: Mechanical Systems and Signal Processing. 188:109995

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

An Improved Multilayer Convolutional Sparse Coding Model for Fault Feature Extraction of Rolling Element Bearings Under Varying Speed Conditions

Autoři: Guangming Dong

Zdroj: IEEE Transactions on Instrumentation and Measurement. 74:1-12

An improved theoretical analysis of convolutional sparse coding using stripe coherence

Autoři: Haifeng Li Wengu Chen

Zdroj: Journal of Computational and Applied Mathematics. 469:116631

Improved multi-focus image fusion using online convolutional sparse coding based on sample-dependent dictionary

Autoři: Sidi He Chengfang Zhang Haoyue Li a další

Zdroj: Signal Processing: Image Communication. 130:117213

Reduction of motion artifacts from photoplethysmography signals using learned convolutional sparse coding

Autoři: Basso, Giulio Long, Xi Haakma, Reinder a další

Témata: Signal Processing (eess.SP), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering

Přístupová URL adresa: http://arxiv.org/abs/2508.10805

Convolutional Sparse Coding Multiple Instance Learning for Whole Slide Image Classification

Autoři: Md Rony Molla Ma Jian Fen

Zdroj: International Journal of Advanced Engineering Research and Science. 10:096-104

WSEBP: A Novel Width-depth Synchronous Extension-based Basis Pursuit Algorithm for Multi-Layer Convolutional Sparse Coding

Autoři: Tang, Haitong He, Shuang Bian, Lingbin a další

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2203.14856

Deep unfolding for multi-measurement vector convolutional sparse coding to denoise unobtrusive electrocardiography signals

Autoři: Fotiadou, Eleni Melaet, Raoul Vullings, Rik

Zdroj: Frontiers in Signal Processing vol.2 (2022) [ISSN 2673-8198]

Témata: ADMM, artificial intelligence, deep learning, denoising, electrocardiogram, multi-measurement vector, sparse coding, Tijdschriftartikel, Article

URL: https://research.tue.nl/en/publications/b1c28f79-abe1-44a2-8fda-3be47d8fd855

Convolutional Sparse Coding Using Pathfinder Algorithm-Optimized Orthogonal Matching Pursuit With Asymmetric Gaussian Chirplet Model in Bearing Fault Detection

Autoři: Qiuyang Zhou Yuhui Zhang Cai Yi a další

Zdroj: IEEE Sensors Journal. 21:18132-18145

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0201 civil engineering

Přístupová URL adresa: http://ui.adsabs.harvard.edu/abs/2021ISenJ..2118132Z/abstract
https://ieeexplore.ieee.org/document/9446880

Compressive Sensing via Unfolded $\ell_{0}$ -constrained Convolutional Sparse Coding

Autoři: Wenrui Dai Junni Zou Hongkai Xiong a další

Zdroj: 2021 Data Compression Conference (DCC). :183-192

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

Přístupová URL adresa: https://ieeexplore.ieee.org/abstract/document/9418690/

Low Rank Activations for Tensor-Based Convolutional Sparse Coding

Autoři: Humbert, Pierre Audiffren, Julien Oudre, Laurent a další

Přispěvatelé: Humbert, Pierre Audiffren, Julien Oudre, Laurent a další

Zdroj: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :3252-3256

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Přístupová URL adresa: https://ieeexplore.ieee.org/document/9053402/
https://hal.archives-ouvertes.fr/hal-03134438
https://dblp.uni-trier.de/db/conf/icassp/icassp2020.html#HumbertAOV20

Deep unfolding for multi-measurement vector convolutional sparse coding to denoise unobtrusive electrocardiography signals

Autoři: Eleni Fotiadou Raoul Melaet Rik Vullings

Zdroj: Frontiers in Signal Processing, Vol 2 (2022)

Témata: 03 medical and health sciences, multi-measurement vector, 0302 clinical medicine, sparse coding, denoising, 0202 electrical engineering, electronic engineering, information engineering, deep learning, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, electrocardiogram, ADMM, artificial intelligence, TK1-9971

Přístupová URL adresa: https://doaj.org/article/f429da7771cf416a9893a01e47cf91b2
https://research.tue.nl/en/publications/b1c28f79-abe1-44a2-8fda-3be47d8fd855
https://doi.org/10.3389/frsip.2022.981453

Fault Detection and Behavior Analysis of Wheelset Bearing Using Adaptive Convolutional Sparse Coding Technique Combined with Bandwidth Optimization

Autoři: Liu He Yi Cai Jianhui Lin a další

Zdroj: Shock and Vibration, Vol 2020 (2020)

Témata: Artificial intelligence, Machine Fault Diagnosis and Prognostics, Electronic engineering, QC1-999, Mechanical Engineering, Physics, 4. Education, Bearing (navigation), FOS: Mechanical engineering, Acoustics, 02 engineering and technology, Fault Diagnosis, Bearing Faults, Computer science, Vibration, Dynamics and Faults in Gear Systems, Algorithm, Engineering, Control and Systems Engineering, Actuator, Physical Sciences, 0202 electrical engineering, electronic engineering, information engineering, Fault detection and isolation, Advanced Monitoring of Machining Operations

Popis souboru: text/xhtml

Přístupová URL adresa: https://downloads.hindawi.com/journals/sv/2020/8879732.pdf
https://doaj.org/article/036c14f603704b82a8a4ffaafc704c2e
https://www.hindawi.com/journals/sv/2020/8879732/
https://downloads.hindawi.com/journals/sv/2020/8879732.pdf

Image De-Raining Via RDL: When Reweighted Convolutional Sparse Coding Meets Deep Learning

Autoři: Wen Yang Lei Yu Jingwei He

Zdroj: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :2548-2552

Témata: 03 medical and health sciences, 0302 clinical medicine, 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/9052926
https://dblp.uni-trier.de/db/conf/icassp/icassp2020.html#HeY020

Projecting on to the Multi-Layer Convolutional Sparse Coding Model

Autoři: Jeremias Sulam Vardan Papyant Yaniv Romano a další

Zdroj: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Témata: 0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/icassp/icassp2018.html#SulamPRE18
http://dblp.uni-trier.de/db/conf/icassp/icassp2018.html#SulamPRE18
https://ieeexplore.ieee.org/document/8462552/

Urban Image Analysis with Convolutional Sparse Coding

Autoři: Affara, Lama Ahmed

Thesis Advisors: Wonka, Peter, Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division, Heidrich, Wolfgang, Ghanem, Bernard, Wright, John

Témata: urban image analysis, Image processing, Computer Vision, Sparse Coding, Objects detection

Dostupnost: http://hdl.handle.net/10754/628738

The Concatenated Dynamic Convolutional and Sparse Coding on Image Artifacts Reduction

Autoři: Linna Yang Ronny Velastegui

Zdroj: Lecture Notes in Computer Science ISBN: 9783030869595

Přístupová URL adresa: https://link.springer.com/chapter/10.1007/978-3-030-86960-1_8
https://dblp.uni-trier.de/db/conf/iccsa/iccsa2021-2.html#YangV21

Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding

Autoři: Huang, Yawen Shao, Ling Frangi, Alejandro F.

Zdroj: Huang, Y, Shao, L & Frangi, A F 2017, Simultaneous super-resolution and cross-modality synthesis of 3D medical images using weakly-supervised joint convolutional sparse coding . in Proceedings-30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017 . Proceedings-30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, vol. 2017-January, IEEE, pp. 5787-5796, 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, United States, 21/07/17 . https://doi.org/10.1109/CVPR.2017.613

Témata: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://eprints.whiterose.ac.uk/135019/1/Huang_Simultaneous_Super-Resolution_and_CVPR_2017_paper.pdf
http://arxiv.org/abs/1705.02596
https://research.manchester.ac.uk/en/publications/cffc927a-8733-41a7-91d3-6d6fa86cd63a
https://doi.org/10.1109/CVPR.2017.613
https://eprints.whiterose.ac.uk/135019/
https://openaccess.thecvf.com/content_cvpr_2017/html/Huang_Simultaneous_Super-Resolution_and_CVPR_2017_paper.html
http://ui.adsabs.harvard.edu/abs/2017arXiv170502596H/abstract
https://ieeexplore.ieee.org/document/8100096/
https://doi.org/10.1109/CVPR.2017.613
https://arxiv.org/abs/1705.02596
http://www.scopus.com/inward/record.url?scp=85044502755&partnerID=8YFLogxK
https://research.manchester.ac.uk/en/publications/cffc927a-8733-41a7-91d3-6d6fa86cd63a
https://doi.org/10.1109/CVPR.2017.613

Multi Attention Convolutional Sparse Coding U-Net for Enhanced Land-Use and Land-Cover Segmentation Using Hyperspectral Images.

Autoři: Yele, Vijaykumar P. Badhe, Namdeo Baban Alegavi, Sujata a další

Zdroj: Sensing & Imaging; 5/20/2025, Vol. 26 Issue 1, p1-32, 32p