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Nyquist–Shannon sampling theorem

Known as: Nyquist Shannon theorem, Nyquist's theorem, Sampling theorem 
In the field of digital signal processing, the sampling theorem is a fundamental bridge between continuous-time signals (often called "analog signals… 
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Papers overview

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2019
2019
There are multiply approaches to prove Euler's well-known formula, however, none of them is trivial or simple. In this paper we… 
Highly Cited
2011
Highly Cited
2011
Recent advances in range imaging (RI) have enabled dense 3-D scene acquisition in real-time. However, due to physical limitations… 
Highly Cited
2010
Highly Cited
2010
For cognitive radios (CRs), compressive sampling (CS) techniques have been utilized for spectrum sensing in order to alleviate… 
Highly Cited
2005
Highly Cited
2005
This paper presents a new sharpened comb decimator structure consisting of a cascade of a comb-filter based decimator and a… 
Highly Cited
1999
Highly Cited
1999
The publications of Claude E. Shannon brought the sampling theorem to the broad attention of communication engineers. This… 
Highly Cited
1992
Highly Cited
1992
Orthogonal wavelet transforms have recently become a popular representation for multi-scale signal and image analysis. One of the… 
Highly Cited
1990
Highly Cited
1990
Air pollutants provide environmental conditions that drastically differ in many respects from those to which forest trees are… 
Highly Cited
1990
Highly Cited
1990
It is shown that Poincare duality groups which satisfy the maximal condition on centralisers have a canonical decomposition as… 
Highly Cited
1983
Highly Cited
1983
We report on the recent advances of an electrooptic sampling technique for the characterization of electrical transients that has… 
Highly Cited
1980
Highly Cited
1980
The complex spectrogram of a signal φ(t) is defined by ∫φ(t)g*(t-to)exp[-iwot]dt ; it is, in fact, the Fourier transform of the…