Advances in sampling theory and techniques [E-Book] / author: Leonid P. Yaroslavsky
Yaroslavsky, Leonid P., (author)
Bellingham, Washington : SPIE, 2020
1 online resource (214 pages)
SPIE Press monograph ; PM315
Full Text
Table of Contents:
  • 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