
Sparse Representations for Radar with MATLAB (R) Examples
Peter Knee(Author)
Morgan and Claypool Life Sciences (Publisher)
Published on 1. October 2012
Book
Paperback/Softback
85 pages
978-1-62705-034-0 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
San Rafael, CA
United States
Publishing group
Morgan & Claypool Publishers
Dimensions
Height: 235 mm
Width: 187 mm
Weight
180 gr
ISBN-13
978-1-62705-034-0 (9781627050340)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
- Radar Systems: A Signal Processing Perspective
- Introduction to Sparse Representations
- Dimensionality Reduction
- Radar Signal Processing Fundamentals
- Sparse Representations in Radar
- Introduction to Sparse Representations
- Dimensionality Reduction
- Radar Signal Processing Fundamentals
- Sparse Representations in Radar