Abstract: This letter introduces a novel resource allocation algorithm for achieving max-min fairness (MMF) in a rate-splitting multiple access (RSMA) empowered multi-antenna broadcast channel.
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
This module provides a Python implementation of FLINT, a fast algorithm for estimating 1D/2D NMR relaxation distributions. The algorithm is based on the work of Paul Teal and C. Eccles, who developed ...
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