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Research homepage
Optimal Diversity Combining in Noisy Channel Estimation
Source code for the Diploma Thesis "Evaluation of Extreme Learning Machine as Channel Equalizer for Color-Shift Keying-Based Visible Light Communication Systems Employed in Underground Mining Scenarios", for the fulfillment of the Electrical Engineer Professional Title at the Universidad de Chile.
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems
CLI & GUI Application for Millimeter Wave Channel Estimation Simulation
Code for "Impact Analysis of Antenna Array Geometry on Performance of Semi-blind Structured Channel Estimation for massive MIMO-OFDM systems", IEEE SSP, Hanoi, Vietnam, Jul. 2023
Source code of the Paper "Diffusion-Based Generative Prior for Low-Complexity MIMO Channel Estimation"
This repository includes the source code of the CNN-based channel estimators proposed in "CNN Aided Weighted Interpolation for Channel Estimation in Vehicular Communications" paper [1] that is published in the IEEE Transactions on Vehicular Technology, 2021.
Implementation of the Paper "Channel Estimation for Quantized Systems based on Conditionally Gaussian Latent Models".
Labs of DSP2
This repository includes the source code of the DFT-based channel estimators proposed in "Low Complex Methods for Robust Channel Estimation in Doubly Dispersive Environments" paper [1] that is published in the IEEE Access, 2022.
This repository includes the source code of the LSTM-based channel estimators proposed in "Temporal Averaging LSTM-based Channel Estimation Scheme for IEEE 802.11 p Standard" paper that is published in the proceedings of the IEEE GLOBECOM 2022 conference that was held in Madrid (Spain).
This repository includes the source code of the STA-DNN and TRFI DNN channel estimators proposed in "Deep Learning Based Channel Estimation Schemes for IEEE 802.11 p Standard" and "Joint TRFI and Deep Learning for Vehicular Channel Estimation" papers that are published in the IEEE Access journal and the proceedings of the 2020 IEEE GLOBECOM Work…
This repository includes the source code of the DL-based symbol-by-symbol and frame-by-frame channel estimators proposed in "A Survey on Deep Learning Based Channel Estimation in Doubly Dispersive Environments" paper [1] that is published in the IEEE Access, 2022.
Data-Driven Channel Estimation Test Bed
This project was undertaken as part of my Bachelors degree. My chosen subject area integrates the disciplines of both electronics engineering and computer science by using artificial intelligence to remove noise and distortion from telecommunications systems. This project is developed entirely in MATLAB.
Implementation of the channel estimator based on Mixture of Factor Analyzers (MFA).
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
This project presents different signal processing methods for signal filtering and cleaning, and channel estimation.
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