least-squares-based algorithm
A Partial Least Squares based algorithm for parsimonious variable selection
... Among recent advancements in PLS methodology itself we find that Indahl et. al. [41] propose a new data compression method for estimating optimal latent vari- ables classification and regression problems by combin- ing ...
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A New Algorithm for Generalized Least Squares Factor Analysis with a Majorization Technique
... inequality-based algorithm has not been developed for the GLS estima- tion in which (4) is minimized over Θ ...The algorithm to be proposed is also computationally simple as in the existing ...
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Least squares-based iterative identification methods for linear-in-parameters systems using the decomposition technique
... The least squares identification method involves matrix inversion and its computational complex- ity depends on the dimensions of the covariance matrices ...position based least squares ...
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Least Squares Matrix Algorithm for State Space Modelling of Dynamic Systems
... zero mean impulsive noise. The length of the data win- dow was M 40 and the system order N 4. The mean error in estimation of the frequency components based on the eigenvalues of the state transition matrix ...
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Newton Krylov Type Algorithm for Solving Nonlinear Least Squares Problems
... presented algorithm is a Newton-Krylov type ...is based on the implicitly restarted Arnoldi method IRAM to construct a basis for the Krylov subspace and to reduce the Jacobian into a Hessenberg matrix in ...
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Data filtering-based least squares iterative algorithm for Hammerstein nonlinear systems by using the model decomposition
... a least squares based iterative algorithm for the IN-OEAR ...filtering based least squares iterative algorithm is ...the least squares iterative ...
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Recursive Least Squares Dictionary Learning Algorithm for Electrical Impedance Tomography
... The samples used to learn the initial dictionary are constructed with COMSOL Multiphysics software. Three kinds of training data are created, as shown in Figure 1. The imaging area of the model is a circular area with a ...
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Least Squares Filtering Algorithm for Reactive Near Field Probe Correction
... is based on a deconvolution ...deconvolution based on an inverse Fourier transform has a restrictive ...is based on the use of noiseless measurement ...deconvolution based technique ...
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Finite impulse response filter design using a forward orthogonal least squares algorithm
... standard least squares problem. Compared with simple least squares algorithms, the orthogonal least squares method has been demonstrated to be a powerful means to achieve this ...
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A Simulation-based Portfolio Optimization Approach with Least Squares Learning
... One can see from the figures of Table V, the calibration phase for 5000 simulated sample paths took more than four hours to finish. The computation time also depends on the size of the strategy set and the number of the ...
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A New Technique for Image Zooming Based on the Moving Least Squares
... zooming algorithm based on their local information is ...Moving Least Square (MLS) approximation based on both the quadratic spline and Gaussian-type weight ...
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The Improved Least Square Support Vector Machine Based on Wolf Pack Algorithm and Data Inconsistency Rate for Cost Prediction of Substation Projects
... model based on the improved least squares support vector machine (ILSSVM) optimized by wolf pack algorithm(WPA) is proposed to improve the accuracy and stability of the cost forecasting of ...
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Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems
... Ultra Least Squares (ULS) criterion is introduced for system ...standard least squares criterion which is based on the Euclidean norm of the residuals, the new ULS criterion is derived ...
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Adaptive Minimum Symbol Error Rate CDMA Linear Multiuser Detector for Pulse Amplitude Modulation
... scheme. Based on a kernel density es- timation for approximating the symbol error rate (SER) from training data, a least mean squares (LMS) style stochastic gradient algorithm called the ...
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Stabilized Least Squares Migration
... FWI algorithm in this experiment is a custom code developed by Sandstone Oil & Gas called ...correlation based comparison function to build a difference model based on the 2D power spectral ...
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Approximate Least Squares Accelerator
... distribution based on three parameters: EM (error mean), EP (error predictability) and ER (error ...errors based on characteristics of some specific approximate adder according to its bit-error ...the ...
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The generalized frequency domain adaptive filtering algorithm as an approximation of the block recursive least squares algorithm
... (GFDAF) algorithm has been shown to largely overcome this problem while retaining compu- tational ...GFDAF algorithm was first pre- sented in [39], being inspired by [30, 40] and incorporating concepts of ...
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Absolute surface metrology by shear rotation with position error correction
... tests based on rotational and translational shears, the estimation algorithm adopts least-squares technique to eliminate azimuthal errors caused by rotation inaccuracy and the errors of ...
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Combined state and parameter estimation for Hammerstein systems with time-delay using the Kalman filtering
... time-delay based on the gradient search and the least squares principle [27]; Xie and Yang derived a gradient-based iterative identification algorithm for nonuniform sampling state ...
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Solution of the Nonlinear Least Squares problem using a new Gradient Based Genetic Algorithm
... evolution algorithm is proposed in ...square algorithm for solving harmonic estimation problems”, approach the solution of harmonic estimation problems in power quality signals using a stochastic ...
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