Undersampling

Known as: Bandpass sampling 
In signal processing, undersampling or bandpass sampling is a technique where one samples a bandpass-filtered signal at a sample rate below its… (More)
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Topic mentions per year

Topic mentions per year

1982-2017
05010019822017

Papers overview

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2011
2011
In the classification framework there are problems in which the number of examples per class is not equitably distributed… (More)
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Review
2010
Review
2010
Undersampling theorems state that we may gather far fewer samples than the usual sampling theorem while exactly reconstructing… (More)
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Highly Cited
2009
Highly Cited
2009
Learning with imbalanced data is one of the recent challenges in machine learning. Various solutions have been proposed in order… (More)
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Highly Cited
2009
Highly Cited
2009
  • David L. Donohoa, Arian Malekib, Andrea Montanaria
  • 2009
Compressed sensing aims to undersample certain high-dimensional signals yet accurately reconstruct them by exploiting signal… (More)
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2009
2009
A common problem for data mining and machine learning practitioners is class imbalance. When examples of one class greatly… (More)
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2007
2007
In this paper, we present a new discrete undersampling scheme designed to favor wavefield reconstruction by sparsity-promoting… (More)
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2007
2007
As negative feedback in control systems is often not applicable and/or produces undesirable effects, this paper presents the… (More)
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2004
2004
For digital measurement of slowly changing modulation waveforms, e.g. electrical bio-impedance (EBI) variations of several higher… (More)
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Highly Cited
2001
Highly Cited
2001
Current surface reconstruction algorithms perform satisfactorily on we ll-sampled, smooth surfaces without boundaries. However… (More)
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Highly Cited
1991
Highly Cited
1991
Abstruct-The sampling of bandpass signals is discussed with respect to band position, noise considerations, and parameter… (More)
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