%0 Book
%0 [E-Book] /
%A Yaroslavsky, Leonid P.
%I SPIE
%D 2020
%C Bellingham, Washington
%P 1 online resource (214 pages)
%G englisch
%B SPIE Press monograph ;
%V PM315
%@ 9781510633841
%R 10.1117/3.2554039
%T Advances in sampling theory and techniques [E-Book]
%U https://dx.doi.org/10.1117/3.2554039
%X 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.
%K Signal processing -- Digital techniques -- Mathematics.
%K Image processing -- Digital techniques -- Mathematics.
%K Fourier transformations.
%~ JuLib eXtended
%W Forschungszentrum Jülich GmbH, Zentralbibliothek