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The identification method combines techniques for feature reduction such as Principal Component Analysis (PCA) and Partial Least Squares regression (PLS), both based on subspace transformation, along with a similarity-based analysis.
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Two transformation schemes based on subspace techniques are designed in the partially adaptive linear filters.
This method is based on subspace projections of a sequence of one or more approximate matrices.
A novel identification algorithm for circulant systems based on subspace identification is presented.
We propose here a robust reconstruction method that is based on subspace minimization techniques.
All the eigenvalue problems are solved by efficient techniques based on subspace iteration.
The proposed estimator is based on subspace analysis using a time-space data model.
Thus, we should adopt such list codes which are based on subspace or rank distance.
Experimental identification of the modal state-space model for Active Vibration Control AVCC) is proposed based on Subspace Identification Method (SIM).
The dynamic of industrial process around a given operating point is first estimated based on subspace model identification (SMI) method.
Most of them are based on subspace tracking techniques such as the projection approximate subspace tracking (PAST) of [21] and the orthonormal projection approximate subspace tracking (OPAST) of [22].
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