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Compressed Sensing

CS,Compressed Sensing,Compressive sensing,compressively sensed,compress sensed,compressive sensed,compression sensing,compressive sense

Compressed Sensing - CS
Publications: 3,340| Citation Count: 18,224
Stemming Variations: Compressive sensing, compressively sensed, compress sensed, compressive sensed, compression sensing
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    • Compressive Sensing (CS) is an emerging area which uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals...

    Volkan Cevher. A COMPRESSIVE BEAMFORMING METHOD

    • Compressive Sensing (CS) is a new paradigm in signal acquisition and compression that has been attracting the interest of the signal compression community. When it comes to image compression applications, it is relevant to estimate the number of bits required to reach a specific image quality...

    Adriana Schulz, et al. On the empirical rate-distortion performance of Compressive Sensing

    • Compressive sensing (CS) is an emerging methodology in computational signal processing that has recently attracted intensive research activities. At present, the basic CS theory includes recoverability and stability: the former quanties the central fact that a sparse signal of length n can be exactly recovered from far fewer than n measurements via '1-minimization or other recovery techniques, while the latter species the stability of a recovery technique in the presence of measurement errors and inexact sparsity...

    YIN ZHANG. THEORY OF COMPRESSIVE SENSING VIA '1MINIMIZATION: A NON-RIP ANALYSIS A...

    • Compressed Sensing (CS) is a new signal acquisition technique that allows sampling of sparse signals using significantly fewer measurements than previously thought possible. On the other hand, a fusion frame is a new signal representation method that uses collections of subspaces instead of vectors to represent signals...

    Petros Boufounos, et al. Compressed sensing for fusion frames

    • Compressive Sensing (CS) is a new technique for the efficient acquisition of signals, images, and other data that have a sparse representation in some basis, frame, or dictionary...

    Chinmay Hegde, et al. Sampling and Recovery of Pulse Streams

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