Abstract
This article introduces successive approximation register (SAR) analog to digital converter (ADC) for force sensor applications. The proposed paper is 24-bit SAR ADC that achieves exceptional quality while power dissipation of drop heavy in 24-bit SAR ADC. The proposed article uses method of machine learning with convolutional neural network post signal detection to calibration force sensor. The produced proposal of calibration is illustrated to be immune to the interference from the conditions and fulfills the exceptional resolution of SAR ADC on force experiments. Enhanced accuracy should obtain via the probability dependent estimation. All results of simulation depict enhanced accuracy even in a noisy circumstance.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
