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distortion-correlation

Simulation code for “Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency” by Emil Björnson, Luca Sanguinetti, and Jakob Hoydis, IEEE Transactions on Communications, To appear

dl-based-emotion-recognition-from-eeg

For more accurate data understanding I have applied single as well as multi-layer neural network for this task

dl-channeldecoding

On Deep Learning-based Channel Decoding

dl-comp-machine-learning

Code for my publication: Deep Learning in Downlink Coordinated Multipoint in New Radio Heterogeneous Networks. Paper is accepted to IEEE Wireless Communications Letters, 2019.

dl-massive-mimo

DL tackling Massive-MIMO problems

dl_dd_mimo

This project is to use deep neural network for channel estimation in MIMO communication systems

dnc-tensorflow

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

dnn_detection_via_keras

This is the simplest implementation of Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems using keras.

dsc-4-45-04-building-deep-autoencoder-lab-online-ds-ft-100118

dsn

Video-based Emotion Recognition Using Deeply-Supervised Neural Networks

dsp-mimo-channel-estimation

Homework for the course DSP of Prof Umberto Spagnolini at PoliMI in 2017/18. Channel Estimation and Equalisation simulation of MIMO systems. Comparison with theoretical limit given by Cramer-Rao Bound.

dynamic-spectrum-allocation-using-game-theory

ece-c247-eeg-gan

GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.

eeg-based-emotion-recognition-with-autoencoder-and-data-augmentation

eeg-emotion-recognition-interfaces-datasets

EEG Emotion Datasets (INTERFACES) from OpenBCI (IEEE Sensors Journal)

efficient-gan-anomaly-detection

efficientdet-keras

eforest

This is the official implementation for the paper 'AutoEncoder by Forest'

emotion-label-semantics

This repository provides the code and dataset for the work published in the paper - Modeling Label Semantics for Predicting Emotional Reactions

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

end-to-end-learning-of-communications-systems-without-a-channel-model

Implementation of research paper: End-to-End Learning of Communications Systems Without a Channel Model

energy-ef-cient-data-collection-in-uav-enabled-wireless-sensor-network

Energy Efficient Data Collection in UAV Enabled Wireless Sensor Network in matlab

energy-harvesting

Summer research project at TIFR. Designing an algorithm for optimal packet scheduling with energy harvesting transmitter and reciever.

energy-management-in-wsn

An Approach for Energy Management in Wireless Sensory Networks

erroranalysisfordiffcodes

Investigated the effect of number of receivers on the bit error rate for a MIMO communication system which use differential space time encoding.

esc-antenna-cover

Antenna placement and positioning for 3.5 GHz spectrum sharing.

esn_mimo_v1

Ref: S. Mosleh, L. Liu, C. Sahin, Y. R. Zheng and Y. Yi, "Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM," in IEEE Transactions on Neural Networks and Learning Systems.

evolutionary-sensors-positioning

An evolutionary approach for positioning multiple wireless sensors to allow simultaneous communication on the same frequency and at the same time.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

examples-1

Useful RadioML Examples