ECG signal reconstruction from undersampled measurement using a trained overcomplete dictionary

Sabin Bhandari; Sangman Moh

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ECG signal reconstruction from undersampled measurement using a trained overcomplete dictionary

机译：使用训练过的完整字典从欠采样测量中重建ECG信号

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《Contemporary Engineering Sciences》 |2014年第29期|共8页
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Sabin Bhandari; Sangman Moh;
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1. Separation of undersampled composite signals using the Dantzig selector with overcomplete dictionaries [J] . Prater Ashley, Lixin Shen Signal Processing, IET . 2015,第3期

机译：使用带有不完整字典的Dantzig选择器分离欠采样的复合信号
2. Adaptive Dictionary Reconstruction for Compressed Sensing of ECG Signals [J] . Darren Craven, Brian McGinley, Liam Kilmartin, Biomedical and Health Informatics, IEEE Journal of . 2017,第3期

机译：自适应字典重构，用于心电信号的压缩感知
3. Highly undersampled MR image reconstruction using an improved dual-dictionary learning method with self-adaptive dictionaries [J] . Li Jiansen, Song Ying, Zhu Zhen, Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering . 2017,第5期

机译：使用具有自适应词典的改进的双字典学习方法，高强度强调MR图像重建
4. A new approach to compressing ECG signals with trained overcomplete dictionary [C] . SeungJae Lee, Jun Luan, Chou Pai H. 2014 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies" . 2014

机译：一种训练有素的完整字典来压缩ECG信号的新方法
5. Reconstruction of Undersampled Super High Frequency Signals Using Recurrent Nonuniform Sampling [D] . Renukaradhya, Teja. 2018

机译：使用递归非均匀采样重建欠采样超高频信号
6. Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging [O] . Emmanuel Ahishakiye, Martin Bastiaan Van Gijzen, Julius Tumwiine, 2020

机译：自适应尺寸字典学习使用信息理论标准从低场磁共振成像中的欠采样k空间数据的图像重建
7. Separation of undersampled composite signals using the Dantzig selector with overcomplete dictionaries [O] . Prater, Ashley, Shen, Lixin 2015

机译：使用Dantzig选择器分离欠采样复合信号超完整的词典

ECG signal reconstruction from undersampled measurement using a trained overcomplete dictionary

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