Leo-Chu/Deep-learning-for-LDPC-decoding

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Created over 5 years ago
Updated over 3 years ago

Leo-Chu/Deep-learning-for-LDPC-decoding

Leo-Chu

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We provide a Deep learning method for LDPC decoding

Machine_learning_for_spectrum_sensing

Four Machine_learning_methods_for_spectrum_sensing

OneBit_MIMO

Source files for our recent published paper: Efficient Nonlinear Precoding for Massive MU-MIMO Downlink Systems with 1-Bit DACs; If you use our codes, please cite our paper.

NOLD

Code for paper "NOLD: A Neural-Network Optimized Low-Resolution Decoder for LDPC Codes， Submitted for an IEEE journal;"

SE-LSTM

SE-LSTM is a new LSTM variant that was recent proposed for the CSI prediction. We will release the code soon.

EEG-signal-classification-using-basic-deep-learning-methods

Voted CNN for massive streaming EEG data classification

MARS

MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model

MIMO

The sample covariance distribution of data set whose elements are selected randomly from a finite alphblets, i.e, QPSK, 16 QAM, or 64 QAM symbols