Results 81 to 90 of about 1,002,666 (308)
A remark on Compressed Sensing [PDF]
Mathematical Notes, 2007 A classical problem in signal processing is the recovery problem: One is interested in reconstructing a vector \(u \in \mathbb R^m\) from given linear functionals \((u, \phi_j)\), \(j = 1, 2, \ldots, n\), with some known values \(\phi_1, \ldots, \phi_n \in \mathbb R^m\). In most typical applications, \(n\) is substantially smaller than \(m\).
Kashin, B. S., Temlyakov, V. N.
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Kinetic Compressive Sensing [PDF]
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2017 5 pages, 6 figures, Submitted to the Conference Record of "IEEE Nuclear Science Symposium and Medical Imaging Conference (IEEE NSS-MIC) 2017"
Scipioni Michele +6 more
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GMTI on short sequences of pulses with compressed sensing
, 2022 S.66-70Due to the sparse distribution of ground moving targets, compressed sensing (CS) is a natural approach for their detection. Especially the detection from short CPIs of around 100 pulses is of high interest, since it allows to monitor large areas ...
Prünte, Ludger
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PURIFY: a new algorithmic framework for next-generation radio-interferometric imaging [PDF]
, 2014 In recent works, compressed sensing (CS) and convex opti- mization techniques have been applied to radio-interferometric imaging showing the potential to outperform state-of-the-art imaging algorithms in the field. We review our latest con- tributions [1,
Wiaux, Yves; id_orcid +8 more
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Quasi-linear Compressed Sensing [PDF]
Multiscale Modeling & Simulation, 2014 Inspired by significant real-life applications, in particular, sparse phase retrieval and sparse pulsation frequency detection in Asteroseismology, we investigate a general framework for compressed sensing, where the measurements are quasi-linear.
Martin Ehler +2 more
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, 2023 Compressed imaging reconstruction technology can reconstruct high-resolution images with a small number of observations by applying the theory of block compressed sensing to traditional optical imaging systems, and the reconstruction algorithm mainly ...
Yongtian Zhang +4 more
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New Ways of Data Compression and Noiseless Recovery [PDF]
, 2013 Viene presentata la teoria del Compressed Sensing, proponendo un nuovo metodo di acquisizione e campionamento di segnali che permette un recupero totale di informazione a partire da un numero molto ridotto di campioni, superando in questo senso i limiti ...
Bayani, Anahita
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(Compressed) sensing and sensibility [PDF]
Proceedings of the National Academy of Sciences, 2011 For decades, researchers have built computer models of molecular interactions to predict properties of new molecules (1). These models take the form of potential functions, equations that can be used predict the molecular energy of interaction. Potential functions have very broad applications. Other than ab initio quantum mechanics-based approaches (2),
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A Novel Strategy for Radar Imaging Based on Compressive Sensing [PDF]
, 2010 Radar data have already proven to be compressible with no significant losses for most of the applications in which it is used. In the framework of information theory, the compressibility of a signal implies that it can be decomposed onto a reduced set of
López-Dekker, Paco +8 more
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