Sampling (signal processing)

Known as: Sampling frequencies, Digital samples, Sampling (information theory) 
In signal processing, sampling is the reduction of a continuous signal to a discrete signal. A common example is the conversion of a sound wave (a… (More)
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Papers overview

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Review
2017
Review
2017
The aim of this paper1 is to give an overview of domain adaptation and transfer learning with a specific view on visual… (More)
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Review
2017
Review
2017
This paper is a survey and an analysis of different ways of using deep learning to generate musical content. We propose a… (More)
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Review
2017
Review
2017
Although semi-supervised variational autoencoder (SemiVAE) works in image classification task, it fails in text classification… (More)
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Review
2017
Review
2017
Motivation In recent years, molecular species delimitation has become a routine approach for quantifying and classifying… (More)
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Review
2017
Review
2017
Context: Defect prediction is a very meaningful topic, particularly at change-level. Change-level defect prediction, which is… (More)
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Review
2017
Review
2017
The aim of this chapter is to give an overview of domain adaptation and transfer learning with a specific view to visual… (More)
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Highly Cited
2010
Highly Cited
2010
Conventional sub-Nyquist sampling methods for analog signals exploit prior information about the spectral support. In this paper… (More)
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Highly Cited
2008
Highly Cited
2008
In this article, the authors present a new approach to building simpler, smaller, and cheaper digital cameras that can operate… (More)
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Highly Cited
2002
Highly Cited
2002
Consider classes of signals that have a finite number of degrees of freedom per unit of time and call this number the rate of… (More)
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Highly Cited
1997
Highly Cited
1997
Fourier analysis is a family of mathematical techniques, all based on decomposing signals into sinusoids. The discrete Fourier… (More)
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