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    TSP
    2008
    174views more  TSP 2008»
    Complex ICA Using Nonlinear Functions
    13 years 6 months ago
    Complex ICA Using Nonlinear Functions
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    We introduce a framework based on Wirtinger calculus for nonlinear complex-valued signal processing such that all computations can be directly carried out in the complex domain. Th...
    Tülay Adali, Hualiang Li, Mike Novey, J.-F. C...
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    IJON
    2008
    93views more  IJON 2008»
    Morphologically constrained ICA for extracting weak temporally correlated signals
    13 years 6 months ago
    Morphologically constrained ICA for extracting weak temporally correlated signals
    Download  dsp.ucsd.edu
    Recently the constrained ICA (cICA) algorithm has been widely applied to many applications. But a crucial problem to the algorithm is how to design a reference signal in advance, ...
    Zhi-Lin Zhang
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    CSDA
    2008
    115views more  CSDA 2008»
    Complex-valued ICA based on a pair of generalized covariance matrices
    13 years 6 months ago
    Complex-valued ICA based on a pair of generalized covariance matrices
    Download  cc.oulu.fi
    It is shown that any pair of scatter and spatial scatter matrices yields an estimator of the separating matrix for complex-valued independent component analysis (ICA). Scatter (re...
    Esa Ollila, Hannu Oja, Visa Koivunen
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    INFFUS
    2007
    117views more  INFFUS 2007»
    Pixel-based and region-based image fusion schemes using ICA bases
    13 years 6 months ago
    Pixel-based and region-based image fusion schemes using ICA bases
    Download  www.commsp.ee.ic.ac.uk
    The task of enhancing the perception of a scene by combining information captured by different sensors is usually known as image fusion. The pyramid decomposition and the Dual-Tr...
    Nikolaos Mitianoudis, Tania Stathaki
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    TIP
    2002
    179views more  TIP 2002»
    Unsupervised image classification, segmentation, and enhancement using ICA mixture models
    13 years 5 months ago
    Unsupervised image classification, segmentation, and enhancement using ICA mixture models
    Download  www.cnbc.cmu.edu
    An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
    Te-Won Lee, Michael S. Lewicki
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