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AN EFFICIENT ALGORITHM FOR THE CLASSICAL LEAST SQUARES APPROXIMATION
(Siam Publications, 2020-01-01)
We explore the computational issues concerning a new algorithm for the classical least-squares approximation of N samples by an algebraic polynomial of degree at most n when the number N of the samples is very large. The ...
A new stabilized least-squares imaging condition
(2009)
The classical deconvolution imaging condition consists of dividing the upgoing wave field by the downgoing wave field and summing over all frequencies and sources. The least-squares imaging condition consists of summing ...
Classical Least Squares Discriminant 1 Analysis of High Explosives Detected on Cotton Fabrics by Quantum Cascade Laser Spectroscopy
(Society for Applied Spectroscopy, 2017)
Quantum cascade laser spectroscopy was used to detect the presence of residues of highly energetic materials (HEMs) on cotton fibers. The discrimination of the vibrational signals of HEMs from a highly mid-infrared (MIR) ...
Multi-way figures of merit in the presence of heteroscedastic and correlated instrumental noise: Unfolded partial least-squares with residual multi-linearization
(Elsevier Science, 2016-11)
In the presence of correlated and/or heteroscedastic noise, i.e., for measurement noise which is not independent and identically distributed (iid), new expressions are required to estimate multi-way calibration figures of ...
Classical Least Squares-Assisted Mid-Infrared (MIR) Laser Spectroscopy Detection of High Explosives on Fabrics
(Society for Applied Spectroscopy, 2019)
Mid-infrared (MIR) laser spectroscopy was used to detect the presence of residues of high explosives (HEs) on fabrics. The
discrimination of the vibrational signals of HEs from a highly MIR-absorbing substrate was achieved ...
Variable forgetting factor least squares identification algorithm : a convergence analysis
(Elsevier, 1988)
This paper studies the convergences of the least-squares identification algorithm with variable forgetting factor. The evolution of the parameter estimator with respect to initial conditions, actual parameter changes and ...