Robust and Efficient Bio-Inspired Data-Sampling Prototype for Time-Series Analysis

Description

Data acquisition is crucial for efficient AI systems. We present a bio-inspired prototype implementation of discrepancy-based adaptive threshold-based sampling on a low-cost microcontroller. We show measurement results demonstrating that an adaptive thresholdbased sampling approach can be performed only using onboard components of the microcontroller. To measure the sampling precision, we used sinusoidal signals output by a waveform generator and compared the signals after reconstruction to exact signals with the set parameters. These measurements show that, even with such low-cost components, discrepancy-based adaptive threshold-based sampling can be performed with high precision.

Period	30 Sept 2021
Event title	Database and Expert Systems Applications - DEXA 2021 Workshop
Event type	Conference
Location	AustriaShow on map