"Machine Learning (Ml)-Based Dynamic Demodulator Selection" in Patent Application Approval Process (USPTO 20230419101).

This article discusses a patent application for a machine learning-based dynamic demodulator selection system in wireless communication. The system uses artificial neural networks to predict and select the least complex demodulator for each data block based on its features. The goal is to achieve optimal performance while minimizing power consumption. The patent application was filed by inventors from various locations and has not been assigned to a specific company or institution. [Extracted from the article]

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