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Exploiting side information and scalability in compressed sensing and deep learning
, 2016 Xing Wang
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Higher efficient compressed sensing reconstruction algorithm of PPG signal
, 2014 Kang Rutin
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IEEE Transactions on Image Processing, 2012
Compressive sensing (CS) is an emerging approach for the acquisition of signals having a sparse or compressible representation in some basis. While the CS literature has mostly focused on problems involving 1-D signals and 2-D images, many important applications involve multidimensional signals; the construction of sparsifying bases and measurement ...
Marco F, Duarte, Richard G, Baraniuk
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Compressive sensing (CS) is an emerging approach for the acquisition of signals having a sparse or compressible representation in some basis. While the CS literature has mostly focused on problems involving 1-D signals and 2-D images, many important applications involve multidimensional signals; the construction of sparsifying bases and measurement ...
Marco F, Duarte, Richard G, Baraniuk
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Accelerating SENSE using compressed sensing
Magnetic Resonance in Medicine, 2009AbstractBoth parallel MRI and compressed sensing (CS) are emerging techniques to accelerate conventional MRI by reducing the number of acquired data. The combination of parallel MRI and CS for further acceleration is of great interest. In this paper, we propose a novel method to combine sensitivity encoding (SENSE), one of the standard methods for ...
Dong, Liang +3 more
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Circuits, Systems, and Signal Processing, 2011
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