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channel-equalization-in-fbmc

Allows to reproduce all figures from "FBMC-OQAM in Doubly-Selective Channels: A New Perspective on MMSE Equalization", IEEE SPAWC, 2017.

deep-mimo-detection

deepmimodetection

fbmc

FBMC & OFDM /SC-FDMA Transceiver Simulator

learningtodetect

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

lte-ofdm-system

Simulates an entire Transmission, Channel and Receiver chain for LTE OFDM system in Matlab

mimo_ofdm

《MIMO-OFDM无线通信技术及MATLAB实现》随书源码

python-neural-network

This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind.

rnn-conv-decoder

Accompanying code of paper "On Recurrent Neural Networks for Sequence-based Processing in Communications" by Daniel Tandler, Sebastian Dörner, Sebastian Cammerer, Stephan ten Brink.

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tpc_d2d

Transmit Power Control Using Deep Neural Network for Underlay Device-to-Device Communication