Entropy Algorithms Using Deep Learning for Signal Processing
Author:
Abstract
Publisher
MDPI AG
Subject
General Physics and Astronomy
Link
https://www.mdpi.com/1099-4300/25/1/23/pdf
Reference6 articles.
1. Jia, J., Liu, L., Liang, Y., Han, Z., and Wang, X. (2022). Chaotic Mapping-Based Anti-Sorting Radio Frequency Stealth Signals and Compressed Sensing-Based Echo Signal Processing Technology. Entropy, 24.
2. Bao, X., Jiang, M., Fang, W., and Zhao, C. (2022). PCQNet: A Trainable Feedback Scheme of Precoder for the Uplink Multi-User MIMO Systems. Entropy, 24.
3. Wang, J., Song, X., and El-Latif, A.A.A. (2022). Efficient Entropic Security with Joint Compression and Encryption Approach Based on Compressed Sensing with Multiple Chaotic Systems. Entropy, 24.
4. Zhao, D., Yang, J., Liu, H., and Huang, K. (2022). A Complex-Valued Self-Supervised Learning-Based Method for Specific Emitter Identification. Entropy, 24.
5. Liu, Y., Yan, B., Zhang, R., Liu, K., Jeon, G., and Yang, X. (2022). Multi-Scale Mixed Attention Network for CT and MRI Image Fusion. Entropy, 24.
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