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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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Review
2013
Review
2013
Compressive sensing (CS) is a novel sampling paradigm that samples signals in a much more efficient way than the established… 
2011
2011
The derivation of the Heisenberg Uncertainty Principle (HUP) from the Uncertainty Theorem of Fourier Transform theory… 
Highly Cited
2009
Highly Cited
2009
The authors present a sub-Nyquist analog-to-digital converter of wideband inputs. The circuit realises the recently proposed… 
Highly Cited
2008
Highly Cited
2008
Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The… 
Highly Cited
1997
Highly Cited
1997
The potential of pilot-symbol-aided channel estimation in two dimensions are explored. In order to procure this goal, the… 
Highly Cited
1996
Highly Cited
1996
We propose a universal sampling pattern and corresponding reconstruction algorithms that guarantee well-conditioned… 
Highly Cited
1994
Highly Cited
1994
The authors first describe the general class of approximation spaces generated by translation of a function /spl psi/(x), and… 
Highly Cited
1990
Highly Cited
1990
Hemispherical (fisheye) canopy photography is a technique for characterizing plant canopies using photographs taken through an… 
Highly Cited
1990
Highly Cited
1990
Regaining original signals transformed from analog to digital systems or assessing information lost in the process are the… 
Review
1981
Review
1981
The concepts of digital signal processing are playing an increasingly important role in the area of multirate signal processing…