Generating Time Series Data With Real-Valued DC-GAN From Complex Time-Frequency Domain: Application to ECG Synthesis
A large amount of data is needed to increase performance in learning algorithms. In many fields such as health, dataset size is limited due to the difficulty of data collection and ethical restrictions. In these cases, synthetic data is needed to increase the performance of learning algorithms. Deep...
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2024-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/10697179/ |
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