• Title Data Acquisition
• Author(s) Michele Vadursi
• Publisher: Sciyo/IN-TECH; eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Hardcover: 344 pages
• eBook: PDF (354 pages), and PDF Files
• Language: English
• ISBN-10: N/A
• ISBN-13: 978-953-307-193-0
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Book Description

The book is intended to be a collection of contributions providing a bird's eye view of some relevant multidisciplinary applications of data acquisition. While assuming that the reader is familiar with the basics of sampling theory and analog-to-digital conversion, the attention is focused on applied research and industrial applications of data acquisition.

Even in the few cases when theoretical issues are investigated, the goal is making the theory comprehensible to a wide, application- oriented, audience.

• N/A

• Amazon

• Electrical and Electronic Engineering
• Data Storage, Data Warehouse, Data Lake, etc.
• Big Data
• Data Science

• Data Acquisition (Michele Vadursi)
• PDF Format
• The Mirror Site (1) - PDF

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