Sparse Representations for Radar with MATLAB Examples (Synthesis Lectures on Algorithms and Software in Engineering) - Softcover

Knee, Peter

Softcover

ISBN 10: 3031003918 ISBN 13: 9783031003912

Publisher: Springer, 2012

Synopsis

Although the field of sparse representations is relatively new, research activities in academic and industrial research labs are already producing encouraging results. The sparse signal or parameter model motivated several researchers and practitioners to explore high complexity/wide bandwidth applications such as Digital TV, MRI processing, and certain defense applications. The potential signal processing advancements in this area may influence radar technologies. This book presents the basic mathematical concepts along with a number of useful MATLAB® examples to emphasize the practical implementations both inside and outside the radar field. Table of Contents: Radar Systems: A Signal Processing Perspective / Introduction to Sparse Representations / Dimensionality Reduction / Radar Signal Processing Fundamentals / Sparse Representations in Radar

About this title

About the Author

Peter A. Knee received a B.S. (with honors) in electrical engineering from the University of New Mexico, Albuquerque, New Mexico, in 2006, and an M.S. degree in electrical engineering from Arizona State University in 2010. While at Arizona State University, his research included the analysis of high-dimensional Synthetic Aperture Radar (SAR) imagery for use with Automatic Target Recognition (ATR) systems as well as dictionary learning and data classification using sparse representations. He is currently an employee at Sandia National Laboratories in Albuquerque, New Mexico, focusing on SAR image analysis and software defined radios

Edition details

• Publisher: Springer
• Publication date: 2012
• Language: English
• ISBN 10: 3031003918
• ISBN 13: 9783031003912
• Binding: Paperback
• Edition number: 1
• Number of pages: 84