Improving FPGA Based Impedance Spectroscopy Measurement Equipment by Means of HLS Described Neural Networks to Apply Edge AI

Improving FPGA Based Impedance Spectroscopy Measurement Equipment by Means of HLS Described Neural Networks to Apply Edge AI

The artificial intelligence (AI) application in instruments such as impedance spectroscopy highlights the difficulty to choose an electronic technology that correctly solves the basic performance problems, adaptation to the context, flexibility, precision, autonomy, and speed of design. Present work...

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Bibliographic Details
Main Authors: Jorge Fe, Rafael Gadea-Gironés, Jose M. Monzo, Ángel Tebar-Ruiz, Ricardo Colom-Palero
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Electronics
Subjects:
FPGA
impedance spectroscopy
artificial neural networks
high-level synthesis
AI edge computing
Online Access:https://www.mdpi.com/2079-9292/11/13/2064

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