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    SIGPRO
    2010
    88views more  SIGPRO 2010»
    Data compression using SVD and Fisher information for radar emitter location
    13 years 8 months ago
    Data compression using SVD and Fisher information for radar emitter location
    Download  www.ws.binghamton.edu
    : This paper presents a data compression method that can achieve a very large compression ratio for radar pulse trains that are to be used for time-difference-of-arrival/frequency-...
    Mark L. Fowler, Mo Chen, J. Andrew Johnson, Zhen Z...
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    DCC
    2003
    IEEE
    141views Computer Graphics» more  DCC 2003»
    Estimation-Quantization Geometry Coding Using Normal Meshes
    14 years 9 months ago
    Estimation-Quantization Geometry Coding Using Normal Meshes
    Download  scholarship.rice.edu
    We propose a new algorithm for compressing three-dimensional triangular mesh data used for representing surfaces. We apply the EstimationQuantization (EQ) algorithm originally des...
    Sridhar Lavu, Hyeokho Choi, Richard G. Baraniuk
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    CCR
    2010
    203views more  CCR 2010»
    Minimizing energy consumptions in wireless sensor networks via two-modal transmission
    13 years 10 months ago
    Minimizing energy consumptions in wireless sensor networks via two-modal transmission
    Download  ccr.sigcomm.org
    We present a sophisticated framework to systematically explore the temporal correlation in environmental monitoring wireless sensor networks. The presented framework optimizes los...
    Yao Liang, Wei Peng
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    MEMICS
    2010
    175views Theoretical Computer Science» more  MEMICS 2010»
    GPU-Based Sample-Parallel Context Modeling for EBCOT in JPEG2000
    13 years 4 months ago
    GPU-Based Sample-Parallel Context Modeling for EBCOT in JPEG2000
    Download  www.sitola.cz
    Embedded Block Coding with Optimal Truncation (EBCOT) is the fundamental and computationally very demanding part of the compression process of JPEG2000 image compression standard. ...
    Jiri Matela, Vit Rusnak, Petr Holub
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    MP
    2010
    162views more  MP 2010»
    Approximation accuracy, gradient methods, and error bound for structured convex optimization
    13 years 8 months ago
    Approximation accuracy, gradient methods, and error bound for structured convex optimization
    Download  www.math.washington.edu
    Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
    Paul Tseng
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