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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Radar Signal Processing for Autonomous Driving (Hardcover, 1st ed. 2020) Loot Price: R3,721
Discovery Miles 37 210
Radar Signal Processing for Autonomous Driving (Hardcover, 1st ed. 2020): Jonah Gamba

Radar Signal Processing for Autonomous Driving (Hardcover, 1st ed. 2020)

Jonah Gamba

Series: Signals and Communication Technology

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Loot Price R3,721 Discovery Miles 37 210 | Repayment Terms: R349 pm x 12*

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The subject of this book is theory, principles and methods used in radar algorithm development with a special focus on automotive radar signal processing. In the automotive industry, autonomous driving is currently a hot topic that leads to numerous applications for both safety and driving comfort. It is estimated that full autonomous driving will be realized in the next twenty to thirty years and one of the enabling technologies is radar sensing. This book presents both detection and tracking topics specifically for automotive radar processing. It provides illustrations, figures and tables for the reader to quickly grasp the concepts and start working on practical solutions. The complete and comprehensive coverage of the topic provides both professionals and newcomers with all the essential methods and tools required to successfully implement and evaluate automotive radar processing algorithms.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Signals and Communication Technology
Release date: August 2019
First published: 2020
Authors: Jonah Gamba
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 142
Edition: 1st ed. 2020
ISBN-13: 978-981-13-9192-7
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN: 981-13-9192-0
Barcode: 9789811391927

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