Name: Mohammad Taha Askari
Type: User
Company: The University of British Columbia
Bio: Ph.D. student at UBC. Interested in communication systems, machine learning for communications, and information theory.
Twitter: DaeiTaha988
Location: Vancouver
Mohammad Taha Askari's Projects
End-to-end learning of optical communication systems
COVID-Net Open Source Initiative
CPSC 330: Applied Machine Learning
End-to-end optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search
Lecture materials for the ELEC 221 Signals and Systems course at UBC.
A simple Python implementation of Max-Lloyd algorithm (or Linde-Buzo-Gray for higher dimensions) to design an optimal quantizer
Machine Learning and Optimization for Communications Systems
Probabilistic Modeling Toolkit for Matlab/Octave.
QAMpy is a DSP chain for the simulation and equalisation of optical communications signals
Enumerative Sphere Shaping in Rust
A collection of functions and classes to support signal processing and communications theory teaching and research
Small Matlab to Python compiler