Advances in sampling theory and techniques
Sampling theorems -- Compressed sensing demystified -- Image sampling and reconstruction with sampling rates close to the theoretical minimum -- Signal/image resampling and building their continuous models -- Discrete sinc-interpolation in other applications and implementations -- The discrete uncer...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Bellingham, Washington, USA
SPIE
2020
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| Schriftenreihe: | SPIE PM
vol. no. 315 |
| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis |
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Tag hinzufügen | Zusammenfassung: | Sampling theorems -- Compressed sensing demystified -- Image sampling and reconstruction with sampling rates close to the theoretical minimum -- Signal/image resampling and building their continuous models -- Discrete sinc-interpolation in other applications and implementations -- The discrete uncertainty principle, sinc-lets and other peculiar properties of sampled signals -- Basic principles of discrete representation of signal transformations -- Discrete representation of the Fourier integral transform. "This book presents the current state of the art of digital engineering, as well as recent proposals for optimal methods of signal and image non-redundant sampling and interpolation-error-free resampling. Topics include classical sampling theory, conventional sampling, the peculiarities of sampling 2D signals, artifacts, compressed sensing, fast algorithms, the discrete uncertainty principle, and sharply-band-limited discrete signals and basis functions with sharply limited support. Exercises based in MATLAB supplement the text throughout"-- |
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| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | ix, 200 Seiten Illustrationen |
| ISBN: | 9781510633834 978-1-5106-3383-4 |