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TSP
2008
166views more  TSP 2008»
13 years 5 months ago
Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds
In this paper, we consider the problem of estimating an unknown deterministic parameter vector in a linear regression model with random Gaussian uncertainty in the mixing matrix. W...
Ami Wiesel, Yonina C. Eldar, Arie Yeredor
TSP
2008
118views more  TSP 2008»
13 years 5 months ago
A Block Component Model-Based Blind DS-CDMA Receiver
In this paper, we consider the problem of blind multiuser separation-equalization in the uplink of a wideband DS-CDMA system, in a multipath propagation environment with intersymbo...
Dimitri Nion, Lieven De Lathauwer
ICASSP
2010
IEEE
13 years 6 months ago
Simultaneous search for all modes in multilinear models
Parallel factor (PARAFAC) analysis is an extension of a low rank decomposition to higher way arrays, usually called tensors. Most of existing methods are based on an alternating l...
Petr Tichavský, Zbynek Koldovský
ICASSP
2011
IEEE
12 years 9 months ago
Automatic target classification in SAR images using MPCA
Multilinear analysis provides a powerful mathematical framework for analyzing synthetic aperture radar (SAR) images resulting from the interaction of multiple factors like sky lum...
Tristan Porges, Gérard Favier