Lightweighted AI-based Inference using Deterministic Randomness Compensation for Microcontroller ADC Resolution Enhancement

초록

Typically, circuits had to be designed at high cost to prevent irregular and random noise. This paper combines a low-cost designed part with a lightweight compensation technique, instead of designing a noise-tolerant circuit at a high cost. Technique that using compensate program in embedded system has been applied to ADC case study for compensate ADC output like as ideal. The proposed technique implemented in embedded systems can compensate for deterministic noise operating on static hardware (i.e., ADC) as a very small resource. The proposed technique improves the 10-bit ADC ENOB by 0.27, and it can be used in only 3.3% additional power consumption from ADC. The embedded system compensation technique can be applied not only to ADCs, but also to various hardware that include human uninterpretable deterministic noise.

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