【文献学习】Power of Deep Learning for Channel Estimation and Signal Detection in OFDM

时间 2021-01-21

标签神经网络学习笔记文献学习机器学习神经网络 OFDM FC-DNN神经网络栏目 Java 繁體版

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目录 1 源码和简化版代码 2 INTRODUCTION 3 DEEP LEARNING BASED ESTIMATION AND DETECTION 4 SIMULATION RESULTS A Impact of Pilot Numbers B Impact of CP C Impact of Clipping and Filtering Distortion D Robustness Ana

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1. 【深度学习与无线通信：论文阅读】：Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems
2. 【文献学习】ComNet: Combination of Deep Learning andExpert Knowledge in OFDM Receiver
3. 【文献学习】Deep Learning for Signal Demodulation in PhysicalLayer Wireless Communications
4. 【学习】Deep Learning for Deepfakes Creation and Detection
5. MIMO-OTFS in High-Doppler Fading Channels:Signal Detection and Channel Estimation(1)
6. Deep Learning Models and Code for Pose Estimation
7. 【文献学习】Artificial Intelligence-aided OFDM Receiver:Design and Experimental Results
8. Comparison of SIFT Encoded and Deep Learning Features for the Classification and Detection of Esca D
9. MIMO-OTFS in High-Doppler Fading Channels:Signal Detection and Channel Estimation(4)
10. Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning
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1. 【深度学习与无线通信：论文阅读】：Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems
2. 【文献学习】ComNet: Combination of Deep Learning andExpert Knowledge in OFDM Receiver
3. 【文献学习】Deep Learning for Signal Demodulation in PhysicalLayer Wireless Communications
4. 【学习】Deep Learning for Deepfakes Creation and Detection
5. MIMO-OTFS in High-Doppler Fading Channels:Signal Detection and Channel Estimation(1)
6. Deep Learning Models and Code for Pose Estimation
7. 【文献学习】Artificial Intelligence-aided OFDM Receiver:Design and Experimental Results
8. Comparison of SIFT Encoded and Deep Learning Features for the Classification and Detection of Esca D
9. MIMO-OTFS in High-Doppler Fading Channels:Signal Detection and Channel Estimation(4)
10. Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning

>>更多相关文章<<