Decomposition of quantics in sums of powers of linear forms
Signal Processing - Special issue on higher order statistics
Optimal separation of independent narrow-band sources: concept and performance
Signal Processing - Special issue on blind source separation and multichannel deconvolution
Multivariate polynomials, duality, and structured matrices
Journal of Complexity
On the Best Rank-1 and Rank-(R1,R2,. . .,RN) Approximation of Higher-Order Tensors
SIAM Journal on Matrix Analysis and Applications
On the Ideals of Secant Varieties of Segre Varieties
Foundations of Computational Mathematics
Blind identification of under-determined mixtures based on the characteristic function
Signal Processing - Signal processing in UWB communications
Tensor-based techniques for the blind separation of DS-CDMA signals
Signal Processing
Handbook of Blind Source Separation: Independent Component Analysis and Applications
Handbook of Blind Source Separation: Independent Component Analysis and Applications
Computing symmetric rank for symmetric tensors
Journal of Symbolic Computation
Foundations of Computational Mathematics
Multihomogeneous polynomial decomposition using moment matrices
Proceedings of the 36th international symposium on Symbolic and algebraic computation
An analytical constant modulus algorithm
IEEE Transactions on Signal Processing
Blind PARAFAC receivers for DS-CDMA systems
IEEE Transactions on Signal Processing
Applications of cumulants to array processing .I. Apertureextension and array calibration
IEEE Transactions on Signal Processing
On the virtual array concept for higher order array processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Parallel factor analysis in sensor array processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Uncertainty principles and ideal atomic decomposition
IEEE Transactions on Information Theory
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The tensor decomposition addressed in this paper may be seen as a generalization of Singular Value Decomposition of matrices. We consider general multilinear and multihomogeneous tensors. We show how to reduce the problem to a truncated moment matrix problem and give a new criterion for flat extension of Quasi-Hankel matrices. We connect this criterion to the commutation characterization of border bases. A new algorithm is described. It applies for general multihomogeneous tensors, extending the approach on binary forms by J.J. Sylvester. An example illustrates the algebraic operations involved in this approach and how the decomposition can be recovered from eigenvector computation.