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    Chapter and Conference Paper

    Constrained Complex-Valued ICA without Permutation Ambiguity Based on Negentropy Maximization

    Complex independent component analysis (ICA) has found utility in separation of complex-valued signals such as communications, functional magnetic resonance imaging, and frequency-domain speeches. However, per...

    Qiu-Hua Lin, Li-Dan Wang, Jian-Gang Lin in Latent Variable Analysis and Signal Separa… (2010)

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    Chapter and Conference Paper

    Speech Separation via Parallel Factor Analysis of Cross-Frequency Covariance Tensor

    This paper considers separation of convolutive speech mixtures in frequency-domain within a tensorial framework. By assuming that components associated with neighboring frequency bins of the same source are st...

    **ao-Feng Gong, Qiu-Hua Lin in Latent Variable Analysis and Signal Separation (2010)

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    Chapter and Conference Paper

    Complex Non-Orthogonal Joint Diagonalization Based on LU and LQ Decompositions

    In this paper, we propose a class of complex non-orthogonal joint diagonalization (NOJD) algorithms with successive rotations. The proposed methods consider LU or LQ decompositions of the mixing matrices, and ...

    Ke Wang, **ao-Feng Gong, Qiu-Hua Lin in Latent Variable Analysis and Signal Separation (2012)

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    Chapter and Conference Paper

    Clustering of MRI Radiomics Features for Glioblastoma Multiforme: An Initial Study

    This paper proposed a radiomics model from magnetic resonance imaging (MRI) for Glioblastoma Multiforme (GBM) patients. One challenge of radiomics study is to reduce the redundancy of the features. Totally 466...

    Zhi-Cheng Li, Qi-Hua Li, Bo-Lin Song in Medical Imaging and Augmented Reality (2016)