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    TIT
    2010
    85views Education» more  TIT 2010»
    Typical peak sidelobe level of binary sequences
    13 years 5 months ago
    Typical peak sidelobe level of binary sequences
    Download  www.math.tau.ac.il
    Noga Alon, Simon Litsyn, Alexander Shpunt
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    BMCBI
    2007
    99views more  BMCBI 2007»
    The Deuterator: software for the determination of backbone amide deuterium levels from H/D exchange MS data
    13 years 11 months ago
    The Deuterator: software for the determination of backbone amide deuterium levels from H/D exchange MS data
    Download  www.biomedcentral.com
    Background: The combination of mass spectrometry and solution phase amide hydrogen/deuterium exchange (H/D exchange) experiments is an effective method for characterizing protein ...
    B. D. Pascal, M. J. Chalmers, S. A. Busby, C. C. M...
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    JCP
    2006
    92views more  JCP 2006»
    A Novel Pulse Echo Correlation Tool for Transmission Path Testing and Fault Diagnosis
    13 years 10 months ago
    A Novel Pulse Echo Correlation Tool for Transmission Path Testing and Fault Diagnosis
    Download  www.academypublisher.com
    Abstract-- In this paper a novel pulse sequence testing methodology is presented [22] as an alternative to Time Domain Reflectometry (TDR) for transmission line health condition mo...
    David M. Horan, Richard A. Guinee
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    VISUALIZATION
    1997
    IEEE
    166views Visualization» more  VISUALIZATION 1997»
    Multiresolution tetrahedral framework for visualizing regular volume data
    14 years 3 months ago
    Multiresolution tetrahedral framework for visualizing regular volume data
    Download  web.siat.ac.cn
    We present a multiresolution framework, called Multi-Tetra framework, that approximates volume data with different levelsof-detail tetrahedra. The framework is generated through a...
    Yong Zhou, Baoquan Chen, Arie E. Kaufman
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    BMCBI
    2010
    118views more  BMCBI 2010»
    From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
    13 years 11 months ago
    From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
    Download  www.biomedcentral.com
    Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
    Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
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