Measurement and Data Science (Hardcover) (ISBN-13: 9781527560710)

Vendor: Gábor Péceli
Product type: Books
Format: Hardcover
$99.95
$99.95
$99.95
Subtotal: $99.95
WR Book House

Measurement and Data Science

$99.95

Measurement and Data Science

$99.95
Format: Hardcover
Description
Description
x
Nowadays, all of us enjoy the worldwide revival of measurement and data science caused by the revolution of sensory devices and the amazing data transmission, storage and processing capabilities available and embedded everywhere. Thanks to the unbelievable amount of recorded information and the theoretical results of measurement and data science, a great deal of newly developed products invade our surroundings and enable previously unconceivable smart services and support.

This volume consists of a number of chapters covering the scientific results of researchers working in this field at the Department of Measurement and Information Systems of the Budapest University of Technology and Economics, Hungary. The book reports research results attained by carefully combining some of the classical theories of measurement and data processing. These new approaches and methods contribute to higher quality measurement design and measured data evaluation, and provide hints to find efficient implementations for instrumentation.



Author: Gábor Péceli
ISBN-10: 1527560716
ISBN-13: 9781527560710
Publisher: Cambridge Scholars Publishing
Language: English
Published: 01/19/2021
Pages: 375
Format: Hardcover
Weight: 2.20lbs
Size: 10.30h x 7.40w x 0.80d

By Gábor Péceli
By Gábor Péceli
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Gábor Péceli received his Electrical Engineering degree from the Technical University of Budapest in 1974, and his Doctor of Technical Sciences degree from the Hungarian Academy of Sciences in 1989. He is Life Fellow of the Institute of Electrical and Electronics Engineering and a Member of the Hungarian Academy of Sciences. He served as Chair of the Department of Measurement and Information Systems of the Technical University of Budapest for 20 years. His research interests include measurement and signal processing structures and embedded adaptive systems.

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