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    » On ICA of improper and noncircular sources
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    ICASSP
    2009
    IEEE
    104views Signal Processing» more  ICASSP 2009»
    On ICA of improper and noncircular sources
    13 years 11 months ago
    On ICA of improper and noncircular sources
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    We provide a review of independent component analysis (ICA) for complex-valued improper and noncircular random sources. An improper random signal is correlated with its complex co...
    Peter J. Schreier, Tülay Adali, Louis L. Scha...
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    TSP
    2008
    164views more  TSP 2008»
    On Extending the Complex FastICA Algorithm to Noncircular Sources
    13 years 4 months ago
    On Extending the Complex FastICA Algorithm to Noncircular Sources
    Download  www.csee.umbc.edu
    Mike Novey, Tülay Adali
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    ICASSP
    2008
    IEEE
    163views Signal Processing» more  ICASSP 2008»
    On quantifying the effects of noncircularity on the complex fastica algorithm
    13 years 11 months ago
    On quantifying the effects of noncircularity on the complex fastica algorithm
    Download  www.csee.umbc.edu
    The complex fast independent component analysis (c-FastICA) algorithm is one of the most popular methods for solving the ICA problem with complex-valued data. In this study, we ex...
    Mike Novey, Tülay Adali
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    TSP
    2010
    140views Artificial Intelligence» more  TSP 2010»
    Algorithms for Complex ML ICA and Their Stability Analysis Using Wirtinger Calculus
    12 years 11 months ago
    Algorithms for Complex ML ICA and Their Stability Analysis Using Wirtinger Calculus
    Download  www.cs.umbc.edu
    Abstract--We derive a class of algorithms for independent component analysis (ICA) based on maximum likelihood (ML) estimation and perform stability analysis of natural gradient ML...
    Hualiang Li, Tülay Adali
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    ICASSP
    2010
    IEEE
    216views Signal Processing» more  ICASSP 2010»
    Flexible complex ICA of fMRI data
    13 years 3 months ago
    Flexible complex ICA of fMRI data
    Download  www.csee.umbc.edu
    Data-driven analysis methods, in particular independent component analysis (ICA) has proven quite useful for the analysis of functional magnetic imaging (fMRI) data. In addition, ...
    Hualiang Li, Tülay Adali, Nicolle M. Correa, ...
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