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Dependent Component Analysis

  1. Content type: Research

    Independent vector analysis (IVA) is a recently proposed technique, an application of which is to solve the frequency domain blind source separation problem. Compared with the traditional complex-valued indepe...

    Authors: Yueyue Na, Jian Yu and Bianfang Chai

    Citation: EURASIP Journal on Advances in Signal Processing 2013 2013:74

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  2. Content type: Research

    This article deals with the problem of blind source separation in the case of a linear and instantaneous mixture. We first investigate the behavior of known independent component analysis (ICA) methods in the ...

    Authors: Marc Castella, Selwa Rafi, Pierre Comon and Wojciech Pieczynski

    Citation: EURASIP Journal on Advances in Signal Processing 2013 2013:62

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  3. Content type: Research

    This article addresses the blind separation of linear mixtures of synchronous signals (i.e., signals with locked phases), which is a relevant problem, e.g., in the analysis of electrophysiological signals of t...

    Authors: Miguel Almeida, José Bioucas-Dias and Ricardo Vigário

    Citation: EURASIP Journal on Advances in Signal Processing 2013 2013:32

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  4. Content type: Research

    Source separation is a common task in signal processing and is often analogous to factor analysis. In this study, we look at a factor analysis model for source separation of multi-spectral image data where pri...

    Authors: Alicia Quirós and Simon P Wilson

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:239

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  5. Content type: Research

    Fast fixed-point independent vector analysis (FastIVA) is an improved independent vector analysis (IVA) method, which can achieve faster and better separation performance than original IVA. As an example IVA m...

    Authors: Yanfeng Liang, Syed Mohsen Naqvi and Jonathon A Chambers

    Citation: EURASIP Journal on Advances in Signal Processing 2012 2012:183

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