Ing. Radek Hrbáček

HRBÁČEK Radek. Introduction to Compressive Sampling. In: Proceedings of the 17th Conference STUDENT EEICT 2011 Volume 1. Brno: NOVPRESS s.r.o., 2011, s. 45-47. ISBN 978-80-214-4271-9. Dostupné z:,%20obrazu%20a%20dat/02-xhrbac01.pdf
Jazyk publikace:čeština
Název publikace:Introduction to Compressive Sampling
Název (en):Introduction to Compressive Sampling
Sborník:Proceedings of the 17th Conference STUDENT EEICT 2011 Volume 1
Konference:Student EEICT 2011
Místo vydání:Brno, CZ
Vydavatel:NOVPRESS s.r.o.
Klíčová slova
signal and image processing, Nyquist theorem, compressive sampling, l1-optimization
The Nyquist theorem is the main pillar of the traditional digital signal processing approach. It states that the sampling rate must be at least twice the maximum frequency present in the signal to guarantee perfect signal reconstruction from the sequence of its samples. In practice, we often compress the signal right after the sampling process to reduce the data size - so the irrelevant part of the information is immediately discarded. The novel compressive sampling approach is not limited
to the frequency domain, it provides a new look on the signal by using an arbitrary basis. If we find a basis in which the signal is sparse, it is possible to take a small number of samples and reconstruct the signal successfully (i.e. further compression is not necessary).
   author = {Radek Hrb{\'{a}}{\v{c}}ek},
   title = {Introduction to Compressive Sampling},
   pages = {45--47},
   booktitle = {Proceedings of the 17th Conference STUDENT EEICT 2011 Volume
   year = {2011},
   location = {Brno, CZ},
   publisher = {NOVPRESS s.r.o.},
   ISBN = {978-80-214-4271-9},
   language = {czech},
   url = {}

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