bcjr-decoding

This algorithm is reserved to the implementation of the Bahl, Cocke, Jelinek and Raviv (BCJR) algorithm. This function takes as input the channel output (corrupted data) and the a priori prob (we will set it to 1/2) and returns as output the APP Log Likelihood Ratio (LLR) for every data input. It is usually called a Soft Input Soft Output (SISO) decoder. It can be applied to any code having a finite state machine, in our case we will use it for rate-1/n convolutional codes.

feedback-reduction-in-wireless-multiuser-networks

fisher-auto-encoders

ipc-historical-data-

A brief description of how to retrieve IPC historical data. We also plot the data in terms of prices, percentage change

kernel_ridge_regression

We study the performance of centered kernel ridge regression in the high dimensional setting where both the sample size and the data dimension grow large. The analysis is useful as it permits to jointly optimize the ridge parameter and the choice of the kernel.

khalilelkhalil

khalilelkhalil.github.io

https://khalilelkhalil.github.io

large-dimensional-discriminant-analysis-classifiers-with-random-matrix-theory

This Julia code is useful to reproduce results for the paper "A Large Dimensional Analysis of Regularized Discriminant Analysis Classifiers"

lda_rnd_projections

Here, we investigate fundamental limits of LDA with random projections

multilayer-perceptron-with-pytorch

We use basic functions from pytorch to implement a multi-layer perceptron (MLP).

negative-moments-of-random-gram-matrices

This code implements the inverse moments derived in "Analytical Derivation of the Inverse Moments of One-Sided Correlated Gram Matrices With Applications", % Khalil Elkhalil, Abla Kammoun, Tareq Y. Al-Naffouri and Mohamed-Slim Alouini, IEEE Transactions on Signal Processing, 2016.

queyranne

Here, we implement Queyranne's algorithm which is a completely combinatorial algorithm for symmetric submodular minimization. This is a very useful algorithm for clustering based on submodular minimization among other applications.

regularized-discriminant-analysis-a-large-dimensional-study

Repository useful to reproduce results of our submitted paper to IEEE ISIT untitled "Regularized Discriminant Analysis: A Large Dimensional Study"