Knee, Peter. <br/><br/>
Sparse Representations for Radar with MATLAB Examples  [electronic resource] / 
by Peter Knee. 
 - 1st ed. 2012. 
 - XIII, 71 p.  online resource. 
 - Synthesis Lectures on Algorithms and Software in Engineering,  1938-1735 .
 - Synthesis Lectures on Algorithms and Software in Engineering, .
<br/><br/>Radar Systems: A Signal Processing Perspective -- Introduction to Sparse Representations -- Dimensionality Reduction -- Radar Signal Processing Fundamentals -- Sparse Representations in Radar. 
<br/><br/> 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 MATLABŪ 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. 
<br/><br/><label>ISBN: </label>9783031015199 
<br/><br/><label>Standard No.: </label>10.1007/978-3-031-01519-9  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Signal processing.<br/>Signal, Speech and Image Processing.
<br/><br/><label>LC Class. No.: </label>TK5102.9 
<br/><br/><label>Dewey Class. No.: </label>621,382