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A MATLAB package for numerous gradient descent optimization methods, such as Adam and RMSProp.
Comparison of modern stochastic optimization algorithms.
Matlab code for the numerical tests of the paper: K. Slavakis. "The stochastic Fejér-monotone hybrid steepest descent method and the hierarchical RLS." IEEE Transactions on Signal Processing, vol. 67, no. 11, pp. 2868-2883, June 2019. (DOI: https://doi.org/10.1109/TSP.2019.2907257)
MATLAB app to access ChatGPT API from OpenAI
Simulates an FBMC and OFDM transmission over a doubly-selective channel. Allows to reproduce all figures from "Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems", IEEE VTC Fall, 2018
Code for paper "Efficient Projection-Free Online Methods with Stochastic Recursive Gradient"
Adaptive filter algorithms package for Matlab
Kalman Filter, Smoother, and EM Algorithm for Python
Notebooks for "Python for Signal Processing" book
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
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