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portada Deep Learning for Radio Frequency Automatic Target Recognition
Type
Physical Book
Author
With
Other
Publisher
Year
2020
Language
English
Pages
294
Format
Hardcover
Dimensions
24.9 x 18.3 x 2.3 cm
Weight
0.84 kg.
ISBN13
9781630816377
Categories

Deep Learning for Radio Frequency Automatic Target Recognition

Uttam K. Majumder (Author) · Erik P. Blasch (With) · David Garren (Other) · Artech House Publishers · Hardcover

Deep Learning for Radio Frequency Automatic Target Recognition - Majumder, Uttam K. ; Blasch, Erik P. ; Garren, David

New Book Imported to Taiwan
Delivery: 18 Sep - 05 Oct Shipping: 12 to 18 business days.
NT$ 6,019
NT$ 6,019

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Synopsis "Deep Learning for Radio Frequency Automatic Target Recognition"

This authoritative resource presents a comprehensive illustration of modern Artificial Intelligence / Machine Learning (AI/ML) technology for radio frequency (RF) data exploitation. It identifies technical challenges, benefits, and directions of deep learning (DL) based object classification using radar data, including synthetic aperture radar (SAR) and high range resolution (HRR) radar. The performance of AI/ML algorithms is provided from an overview of machine learning (ML) theory that includes history, background primer, and examples. Radar data issues of collection, application, and examples for SAR/HRR data and communication signals analysis are discussed. In addition, this book presents practical considerations of deploying such techniques, including performance evaluation, energy-efficient computing, and the future unresolved issues.

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The binding of this edition is Hardcover.

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