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JUDITH NJOKU's Projects

matchbox icon matchbox

Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.

matlab icon matlab

A set of MATLAB codes that I wrote for Digital Signal Processing, Wireless Communication, RF Design etc.,

matlab-code-lcomm-2018 icon matlab-code-lcomm-2018

Matlab code of the paper: T.-N. Do, V.-D. Nguyen, O.-S Shin, and B. An, "Simultaneous Uplink and Downlink Transmissions for Wireless Powered Communication Networks," in IEEE Communications Letters, 2018. doi: 10.1109/LCOMM.2018.2885303

matlab-gan icon matlab-gan

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

maximal-se icon maximal-se

Simulation code for “Massive MIMO for Maximal Spectral Efficiency: How Many Users and Pilots Should Be Allocated?” by Emil Björnson, Erik G. Larsson, Mérouane Debbah, IEEE Transactions on Wireless Communications, vol. 15, no. 2, pp. 1293-1308, 2016.

meta-autoencoder icon meta-autoencoder

Code for the paper "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels"

mimo icon mimo

An exploratory project on matlab stimulation of a wireless MIMO system using bpsk zero forcing technique

mimo-channel-estimation icon mimo-channel-estimation

Simulation code for “A Framework for Training-Based Estimation in Arbitrarily Correlated Rician MIMO Channels with Rician Disturbance” by Emil Björnson and Björn Ottersten, IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1807-1820, March 2010.

mimo-ofdm-system icon mimo-ofdm-system

FAST HARMONY SEARCH TECHNIQUE FOR CHANNEL ESTIMATION IN MIMO OFDM SYSTEM

mistwf-toolkit-simulation icon mistwf-toolkit-simulation

Matlab implementation and simulation infrastructure of the algorithm in "An Alternative Perspective on Utility Maximization in Energy-Harvesting Wireless Sensor Networks" by Roseveare and Natarajan

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml_wirelesscomm icon ml_wirelesscomm

Machine Learning Applications in Wireless Communications - Project work

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