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Subspace-based Continuous-time Identification
2008The last few years have witnessed a strong interest in system identification using realisation-based algorithms. The use of Markov parameters as suggested by Ho and Kalman [18] Akaike [1], and Kung [28], of a system can be effectively applied to the problem of state-space identification; see Verhaegen et al.
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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.
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Robust and Bayesian Subspace Identification
IEEE Transactions on Automatic Controlopenaire +2 more sources
Subspace Identification for Linear Systems
1996Peter Van Overschee, Bart De Moor
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