Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
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… 
2016
2016
As recently demonstrated, compressive sensing (CS) is potential in exact recovery of an unknown sparse signal from very limited… 
2010
2010
We demonstrate 10×456-Gb/s single-carrier DP-16QAM transmission over 8×l00-km of ULAF at a channel spacing of 70 GHz (6.1 b/s/Hz… 
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
2003
Highly Cited
2003
The numerical dispersion relations in the literature are inconsistent for the alternate-direction-implicit finite-difference time… 
Highly Cited
1999
Highly Cited
1999
The publications of Claude E. Shannon brought the sampling theorem to the broad attention of communication engineers. This… 
Review
1994
Review
1994
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
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…