Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning

Short summary

This paper provides a comprehensive overview of the Majorization-Minimization (MM) algorithmic framework, demonstrating its utility in deriving efficient algorithms for signal processing, communications, and machine learning.

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