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    TSP
    2010
    175views Artificial Intelligence» more  TSP 2010»
    Variance-component based sparse signal reconstruction and model selection
    13 years 1 months ago
    Variance-component based sparse signal reconstruction and model selection
    Download  home.eng.iastate.edu
    We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
    Kun Qiu, Aleksandar Dogandzic
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    ICASSP
    2008
    IEEE
    132views Signal Processing» more  ICASSP 2008»
    Compressive wireless arrays for bearing estimation
    14 years 1 months ago
    Compressive wireless arrays for bearing estimation
    Download  www.ece.rice.edu
    Joint processing of sensor array outputs improves the performance of parameter estimation and hypothesis testing problems beyond the sum of the individual sensor processing result...
    Volkan Cevher, Ali Cafer Gurbuz, James H. McClella...
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    RSP
    2006
    IEEE
    120views Control Systems» more  RSP 2006»
    A Case Study of Design Space Exploration for Embedded Multimedia Applications on SoCs
    14 years 1 months ago
    A Case Study of Design Space Exploration for Embedded Multimedia Applications on SoCs
    Download  www.cri.ensmp.fr
    Embedded real-time multimedia applications usually imply data parallel processing. SIMD processors embedded in SOCs are cost-effective to exploit the underlying parallelism. Howev...
    Isabelle Hurbain, Corinne Ancourt, François...
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    CVPR
    2008
    IEEE
    507views Computer Vision» more  CVPR 2008»
    An efficient algorithm for compressed MR imaging using total variation and wavelets
    14 years 9 months ago
    An efficient algorithm for compressed MR imaging using total variation and wavelets
    Download  www.columbia.edu
    Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
    Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty
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    TIT
    2010
    153views Education» more  TIT 2010»
    On the information rates of the plenoptic function
    13 years 1 months ago
    On the information rates of the plenoptic function
    Download  www.ifp.illinois.edu
    The plenoptic function (Adelson and Bergen, 91) describes the visual information available to an observer at any point in space and time. Samples of the plenoptic function (POF) a...
    Arthur L. da Cunha, Minh N. Do, Martin Vetterli
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