Measurement Data Processing with LabVIEW and Python
Measurement Data Processing with LabVIEW and Python
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69,99 €
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- ISBN: 979-8-950184-20-8
- Erscheinungsdatum: 12/2026
- Auflage: 1
- Farbigkeit: Full color
- Seitenanzahl: 344
- Sprache: Englisch
-
Produktsicherheit:
Carl Hanser Verlag GmbH & Co KG
Vilshofener Str. 10
81679 München
E-Mail: info@hanser.de
Sicherheitshinweis entsprechend Art.9 Abs. 7 Satz 2 GPSR entbehrlich
Produktinformationen "Measurement Data Processing with LabVIEW and Python"
This textbook offers a comprehensive introduction, in-depth content and practical exercises on measurement data processing. It combines fundamental concepts of analogue and digital signal processing with software implementation in LabVIEW and Python.
It covers key topics in measurement technology, such as:
- AD/DA conversion
- Signal sampling and reconstruction
- Basic amplifier and operational amplifier circuits
- Analogue and digital filters
- Fourier transform.
This book bridges the gap between traditional measurement technology and modern data-driven methods, making it a valuable resource for training, study and professional practice.
It covers key topics in measurement technology, such as:
- AD/DA conversion
- Signal sampling and reconstruction
- Basic amplifier and operational amplifier circuits
- Analogue and digital filters
- Fourier transform.
This book bridges the gap between traditional measurement technology and modern data-driven methods, making it a valuable resource for training, study and professional practice.
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Thomas Beier
Thomas Beier teaches Data Acquisition and Processing and Automation Engineering at the Berlin Technical College.
Tobias Kaufhold
Tobias Kaufhold holds a Dipl.-Ing. in Electrical Engineering and has more than ten years of experience in measurement and automation engineering with manufacturers of medical devices. He also teaches at the Berlin Technical College.
Mohammadreza Paydar
Dipl.-Ing. Mohammadreza Paydar teaches a wide range of subjects in electrical engineering at the Berlin Technical College, including Signals and Systems, Analog Electronics, Digital Circuit Design, Automation Engineering, Communications Engineering, and High-Frequency Engineering. His areas of expertise include industrial automation and the application of Python in artificial intelligence.
