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AssigneeEta Compute, Inc.
InventorGopal Raghavan
Estimating the term…
Temperature-independent clock generation systems and methods are described that include a trained neural network coupled to a frequency correction circuit that corrects a crystal resonator output of a clock signal having a frequency that changes with changes in temperature. The neural network is trained with test temperatures and corresponding temperature based changes in frequency for test resonators of the same type as the resonator of the real time clock. The neutral network is trained to output frequency corrections based on a set of measured reference temperature-based changes in frequency for the crystal resonator and a current temperature of the resonator. The frequency correction circuit receives the frequency corrections from the neural network and corrects changes in the frequency caused by the changes in temperature of the resonator to provide a clock signal having an output frequency that is independent of the current temperature of the resonator.
A temperature-independent clock generator, comprising:
A system for neural network based corrections of temperature-based changes in frequency of a vibrating crystal resonator of a real time clock, comprising:
A neural network for correcting temperature-based changes in frequency of a vibrating crystal resonator of a real time clock, comprising:
A method for training neural network to correct temperature-based changes in frequency of a vibrating crystal resonator, comprising:
Dependencies are inferred from the claim text.