【文獻學習】Power of Deep Learning for Channel Estimation and Signal Detection in OFDM

時間 2021-01-21

標籤神經網絡學習筆記文獻學習機器學習神經網絡 OFDM FC-DNN神經網絡欄目 Java 简体版

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目錄 1 源碼和簡化版代碼 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. 【深度學習與無線通信：論文閱讀】：Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems
2. 【文獻學習】ComNet: Combination of Deep Learning andExpert Knowledge in OFDM Receiver
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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)
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1. 【深度學習與無線通信：論文閱讀】：Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems
2. 【文獻學習】ComNet: Combination of Deep Learning andExpert Knowledge in OFDM Receiver
3. 【文獻學習】Deep Learning for Signal Demodulation in PhysicalLayer Wireless Communications
4. 【學習】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. 【文獻學習】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

>>更多相關文章<<