Advances in Sampling Theory and Techniques (Press Monographs)

by Leonid P. Yaroslavsky

0 ratings • 0 reviews • 0 shelved
Book cover for Advances in Sampling Theory and Techniques

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

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 transforms. Topics include classical sampling theory, compressed sensing, non-redundant sampling, fast signal resampling algorithms, the discrete uncertainty principle, digital convolution, and various versions of discrete Fourier transforms. Exercises based in MATLAB supplement the text throughout.
  • ISBN13 9781510633834
  • Publish Date 1 February 2021
  • Publish Status Active
  • Publish Country US
  • Imprint SPIE Press
  • Format Paperback
  • Pages 214
  • Language English