Reduced-Complexity Estimation of FM Instantaneous Parameters via Deep-Learning
Signal frequency estimation is a fundamental problem in signal processing. Deep learning is a fundamental method to solve this problem. This paper used five deep learning methods and three datasets including different singles Single Tone (ST), Linear- Frequency-Modulated (LFM), and Quadratic-Freque...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Faculty of Computer Science and Mathematics, University of Kufa
2023-03-01
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| Series: | Journal of Kufa for Mathematics and Computer |
| Assuntos: | |
| Acceso en liña: | https://journal.uokufa.edu.iq/index.php/jkmc/article/view/10370 |
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