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Unsupervised hyperspectral signal subspace identification
2009Hyperspectral imaging sensors provide image data containing both spectral and spatial information from the Earth surface. The huge data volumes produced by these sensors put stringent requirements on communications, storage, and processing. This paper presents a method, termed hyperspectral signal subspace identification by minimum error (HySime), that
Nascimento, Jose, Bioucas-Dias, José M.
openaire +1 more source
Frequency-domain subspace identification for nonlinear mechanical systems
Mechanical Systems and Signal Processing, 2013Jean-Philippe Noël
exaly
Recursive subspace identification of linear and non-linear Wiener state-space models
Automatica, 2000Marco Lovera, Michel Verhaegen
exaly
Data-driven predictive control of Hammerstein-Wiener systems based on subspace identification
Information Sciences, 2018Xiaosuo Luo, Yongduan Song
semanticscholar +1 more source
Subspace state space system identification for industrial processes
Journal of Process Control, 2000Peter Van Overschee
exaly
Subspace-based methods for the identification of linear time-invariant systems
Automatica, 1995Mats Viberg
exaly
Uncertainty bounds on modal parameters obtained from stochastic subspace identification
Mechanical Systems and Signal Processing, 2008Edwin Pb Reynders +2 more
exaly