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    TSP
    2010
    138views Artificial Intelligence» more  TSP 2010»
    A non-iterative technique for phase noise ICI mitigation in packet-based OFDM systems
    13 years 2 months ago
    A non-iterative technique for phase noise ICI mitigation in packet-based OFDM systems
    Download  www.utdallas.edu
    In this paper, a practical approach for detecting packet-based orthogonal frequency division multiplexing (OFDM) signals in the presence of phase noise is presented. An OFDM packe...
    Payam Rabiei, Won Namgoong, Naofal Al-Dhahir
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    TASLP
    2010
    157views more  TASLP 2010»
    HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
    13 years 2 months ago
    HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
    Download  www.ee.ucla.edu
    This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
    Bengt J. Borgstrom, Abeer Alwan
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    INFORMATICALT
    2010
    122views more  INFORMATICALT 2010»
    On a Time-Varying Parameter Adaptive Self-Organizing System in the Presence of Large Outliers in Observations
    13 years 6 months ago
    On a Time-Varying Parameter Adaptive Self-Organizing System in the Presence of Large Outliers in Observations
    Download  www.mii.lt
    In the previous papers (Pupeikis, 2000; Genov et al., 2006; Atanasov and Pupeikis, 2009), a direct approach for estimating the parameters of a discrete-time linear time-invariant (...
    Rimantas Pupeikis
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    SMA
    2009
    ACM
    132views Solid Modeling» more  SMA 2009»
    Robust Voronoi-based curvature and feature estimation
    14 years 2 months ago
    Robust Voronoi-based curvature and feature estimation
    Download  fodava.gatech.edu
    Many algorithms for shape analysis and shape processing rely on accurate estimates of differential information such as normals and curvature. In most settings, however, care must...
    Quentin Mérigot, Maks Ovsjanikov, Leonidas ...
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    NECO
    2002
    100views more  NECO 2002»
    Robust Regression with Asymmetric Heavy-Tail Noise Distributions
    13 years 7 months ago
    Robust Regression with Asymmetric Heavy-Tail Noise Distributions
    Download  www.iro.umontreal.ca
    In the presence of a heavy-tail noise distribution, regression becomes much more di cult. Traditional robust regression methods assume that the noise distribution is symmetric and...
    Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori
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