Роль комп'ютерних інтелектуальних систем у вдосконаленні технологій багатоканальних аналого-цифрових перетворювачів

Abstract

This article discusses the interaction of computer-intelligent systems with multichannel analogue-to-digital converter (ADC) technologies. Intelligent computer systems, in particular artificial intelligence (AI) and machine learning (ML) algorithms, play an important role in optimising the process of converting analogue signals into digital data. In particular, the use of such systems allows the accuracy and speed of the ADC to be improved through automatic parameter setting and signal management. In addition, intelligent algorithms make it possible to predict and correct errors in real time, thus increasing the efficiency of the systems. The article also provides examples of practical implementation, in particular the adaptation of converter parameters based on external conditions and the use of neural networks to improve the processing of multi-channel signals. The prospects for further development of analogue-to-digital converters using intelligent systems are highlighted, in particular the possibility of creating 'smart' converters that are self-learning and adapt to operating conditions.