Advances in sampling theory and techniques [E-Book] / author: Leonid P. Yaroslavsky
This book provides both the most updated formulations of the sampling theory and practical algorithms of image sampling with sampling rates close to the theoretical minimum, as well interpolation-error-free methods of image resampling and the theory of discrete representation of signal integral tran...
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Full text |
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Personal Name(s): | Yaroslavsky, Leonid P., author |
Imprint: |
Bellingham, Washington :
SPIE,
2020
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Physical Description: |
1 online resource (214 pages) |
Note: |
englisch |
ISBN: |
9781510633841 |
DOI: |
10.1117/3.2554039 |
Series Title: |
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SPIE Press monograph ;
PM315 |
Subject (LOC): |
- Introduction
- Sampling Theorems
- Compressed Sensing Demystified
- Image Sampling and Reconstruction with Sampling Rates Close to the Theoretical Minimum
- Signal and 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 Convolution Integral
- Discrete Representation of the Fourier Integral Transform
- Appendix 1: Fourier Series, Integral Fourier Transform, and Delta Function
- Appendix 2: Discrete Fourier Transforms and Their Properties