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Sparse Representations for Radar with MATLAB Examples / by Peter Knee.
- Format:
- Book
- Author/Creator:
- Knee, Peter., Author.
- Series:
- Synthesis Lectures on Algorithms and Software in Engineering, 1938-1735
- Language:
- English
- Subjects (All):
- Signal processing.
- Signal, Speech and Image Processing .
- Local Subjects:
- Signal, Speech and Image Processing .
- Physical Description:
- 1 online resource (XIII, 71 p.)
- Edition:
- 1st ed. 2012.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2012.
- 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.
- Contents:
- Radar Systems: A Signal Processing Perspective
- Introduction to Sparse Representations
- Dimensionality Reduction
- Radar Signal Processing Fundamentals
- Sparse Representations in Radar.
- ISBN:
- 9783031015199
- 3031015193
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