£155.00

Artech House Deep Learning for Radar and Communications ATR

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Description

Master the application of modern Artificial Intelligence and Machine Learning for radio frequency data exploitation with this authoritative resource from Artech House. This book provides a detailed look at deep learning technology for object classification using radar data, making it an essential guide for professionals working with synthetic aperture radar (SAR) and high range resolution (HRR) radar. Readers will gain a strong foundation through an overview of machine learning theory, including historical context and background primers. The text addresses the technical challenges and benefits of using AI/ML algorithms in radar applications. By exploring the complexities of radar data collection and application, this book helps bridge the gap between theoretical machine learning and practical RF data exploitation. Whether you are studying the history of ML or looking for modern directions in deep learning-based target recognition, this text offers the technical depth required for modern communications and radar research.

Key Features

Covers modern AI/ML technology specifically for radio frequency (RF) data exploitation and object classification.

Provides technical guidance on deep learning applications for synthetic aperture radar (SAR) and high range resolution (HRR) radar.

Includes a comprehensive overview of machine learning theory, covering history, background primers, and practical examples.

Identifies the technical challenges and benefits associated with deep learning-based object classification using radar data.

Explores critical radar data issues including collection, application, and various implementation examples.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 August 2020
Listed Since
06 February 2020

Barcode

No barcode data available

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