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Noiselet

Known as: Noiselets 
Noiselets are a family of functions which are related to wavelets, analogously to the way that the Fourier basis is related to a time domain signal… 
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Papers overview

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2017
2017
Theory of compressive sensing  (CS) is an alternative to Shannon/Nyquist sampling theorem which explained the number of samples… 
2016
2016
Time-domain Compressive Beamforming (t-CBF) uses a beamforming matrix in conjunction with regularization techniques to improve… 
Review
2015
Review
2015
Image fusion is the process of merging two or more images obtained from the same sensor at different times or from two or more… 
2015
2015
Synthetic Aperture Radar (SAR) has the ability to obtain high resolution 2D imagery from distributed targets, such as landscapes… 
2013
2013
We evaluate the performance of a compressive imager using multiple basis sets on monochromatic, color and infrared natural light… 
2013
2013
Compressed sensing (CS) reconstruction relies on the sparsity of the signal in the transform domain and on the incoherence… 
2012
2012
In this work, modifications to the paradigm of compression using the concept of compressive sensing was proposed. Procedure of… 
2012
2012
  • D. LamD. Wunsch
  • 2012
  • Corpus ID: 16406406
A new compressive video sampling method is investigated. As opposed to other video sampling methods for which processing is… 
Highly Cited
2009
Highly Cited
2009
In this letter, we apply a new sampling theory named compressed sensing (CS) for aerospace remote sensing to reduce data…