Eigen-structure of the fourth-order cumulant tensor with application to the blind source separation problem

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Rethinking LDA: Moment Matching for Discrete ICA (2015, neutral): “This procedure was referred to as the spectral algorithm for LDA [3] and the fourth-order3 blind identification algorithm for ICA [17, 18].”
Multichannel Eigenspace Beamforming in a Reverberant Noisy Environment With Multiple Interfering Speech Signals (2009, methodology): “Commonly used techniques include second-order statistics [4], high-order statistics [5], and information theoretic-based measures [6].”
Blind source separation based vibration mode identification (2007, methodology): “The optimization methods range from the classical gradient descent method or Newton-like algorithms [22] to fast-point algorithm [20] or joint diagonalization [19, 15].”
Convolutive blind separation of non-stationary sources (2000, unknown): “Cardoso [11] suggested that the eigenstructure of fourth-order cumulants could be used for blind separation.”
Independent component analysis by general nonlinear Hebbian-like learning rules (1998, background): “[4,5,7,8]), and it is not the purpose of our paper to give a review of this mainstream of ICA research.”
Independent component analysis, a survey of some algebraic methods (1996, background): “Further, the joint diagonality criterion ( 19 ) may be shown to be equal to :”