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Some Properties of a Recursive Procedure for High Dimensional Parameter Estimation in Linear Model with Regularization

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Figure

Figure 1 represent rms of the estimation error m =
Figure 1. Performance (rms) of the algorithm (24) subject to different projection subspaces
Figure 2. Vertical gain coefficients obtained during application of the Sampling Procedure for layer thick-ness correction during iterations

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