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Sparse Representations for Radar with MATLAB Examples / by Peter Knee

By: Knees, Peter, autor
Material type: materialTypeLabelE-bookSeries: (Synthesis Lectures on Algorithms and Software in Engineering, 1938-1735).Publisher: Cham : Springer International Publishing, 2012Edition: 1st edition 2012.Description: 1 recurso en línea (XIII, 71 páginas).ISBN: 9783031015199.Subject: MATLAB (Archivo de ordenador) | Radar -- Modelos matemáticos | Proceso de señales -- Modelos matemáticosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Radar Systems: A Signal Processing Perspective -- Introduction to Sparse Representations -- Dimensionality Reduction -- Radar Signal Processing Fundamentals -- Sparse Representations in Radar.
Summary: 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TK6578 2012 EB (Browse shelf(Opens below)) Acceso electrónico eBook.01112237
Total holds: 0

Radar Systems: A Signal Processing Perspective -- Introduction to Sparse Representations -- Dimensionality Reduction -- Radar Signal Processing Fundamentals -- Sparse Representations in Radar.

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.

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