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    ICASSP
    2011
    IEEE
    180views Signal Processing» more  ICASSP 2011»
    Adaptive recursive FLANN filters for nonlinear active noise control
    14 years 1 months ago
    Adaptive recursive FLANN filters for nonlinear active noise control
    Download  mirlab.org
    In this paper, a recursive nonlinear filter exploiting trigonometric expansions of the past output samples is introduced. Its peculiarity is, in general, the ability to model rea...
    Giovanni L. Sicuranza, Alberto Carini
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    MEDIAFORENSICS
    2010
    140views Forensic Engineering» more  MEDIAFORENSICS 2010»
    Sensor noise camera identification: countering counter-forensics
    14 years 11 months ago
    Sensor noise camera identification: countering counter-forensics
    Download  www.ws.binghamton.edu
    In camera identification using sensor noise, the camera that took a given image can be determined with high certainty by establishing the presence of the camera's sensor fing...
    Miroslav Goljan, Jessica J. Fridrich, Mo Chen
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    TIFS
    2008
    120views more  TIFS 2008»
    Determining Image Origin and Integrity Using Sensor Noise
    14 years 9 months ago
    Determining Image Origin and Integrity Using Sensor Noise
    Download  www.ws.binghamton.edu
    In this paper, we provide a unified framework for identifying the source digital camera from its images and for revealing digitally altered images using photo-response nonuniformit...
    Mo Chen, Jessica J. Fridrich, Miroslav Goljan, Jan...
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    GLOBECOM
    2008
    IEEE
    140views Communications» more  GLOBECOM 2008»
    Numerical Performance Evaluation of OFDM Systems Affected by Transmitter Nonlinearities, Phase Noise and Channel Estimation Erro
    15 years 4 months ago
    Numerical Performance Evaluation of OFDM Systems Affected by Transmitter Nonlinearities, Phase Noise and Channel Estimation Erro
    Download  wwwmns.ifn.et.tu-dresden.de
    Abstract—In this contribution we present a numerical approach to evaluate the bit error rate and mutual information of OFDM links affected by transmitter nonlinearities, phase no...
    Steffen Bittner, Marco Krondorf, Gerhard Fettweis
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    PAKDD
    2005
    ACM
    111views Data Mining» more  PAKDD 2005»
    Training Support Vector Machines Using Greedy Stagewise Algorithm
    15 years 3 months ago
    Training Support Vector Machines Using Greedy Stagewise Algorithm
    Download  ttic.uchicago.edu
    Abstract. Hard margin support vector machines (HM-SVMs) have a risk of getting overfitting in the presence of the noise. Soft margin SVMs deal with this
    Liefeng Bo, Ling Wang, Licheng Jiao
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