Overview

Full Product Details

Author:   Sevgi Zubeyde Gurbuz (Assistant Professor, University of Alabama, USA)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
Dimensions:   Width: 15.60cm , Height: 2.50cm , Length: 23.40cm
Weight:   0.816kg
ISBN:  

9781785618529

ISBN 10:   1785618520
Pages:   420
Publication Date:   04 February 2021
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Prologue: perspectives on deep learning of RF data Part I: Fundamentals Chapter 1: Radar systems, signals, and phenomenology Chapter 2: Basic principles of machine learning Chapter 3: Theoretical foundations of deep learning Part II: Special topics Chapter 4: Radar data representation for classification of activities of daily living Chapter 5: Challenges in training DNNs for classification of radar micro-Doppler signatures Chapter 6: Machine learning techniques for SAR data augmentation Part III: Applications Chapter 7: Classifying micro-Doppler signatures using deep convolutional neural networks Chapter 8: Deep neural network design for SAR/ISAR-based automatic target recognition Chapter 9: Deep learning for passive synthetic aperture radar imaging Chapter 10: Fusion of deep representations in multistatic radar networks Chapter 11: Application of deep learning to radar remote sensing Epilogue: looking toward the future

Reviews

Author Information

Sevgi Zubeyde Gurbuz is an assistant professor of electrical and computer engineering at the University of Alabama, USA. She received the SPIE Defense and Commercial Sensing Rising Researcher Award in 2020. Her research interests are in radar signal processing and machine learning for applications ranging from human activity and gait analysis for remote health monitoring in biomedical engineering to American Sign Language and gesture recognition for human-computer interaction, and multimodal remote sensing for earth sciences.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions