least-squares iterative algorithm
Data filtering-based least squares iterative algorithm for Hammerstein nonlinear systems by using the model decomposition
... the iterative identification problems for a class of Hammerstein nonlinear ...based least squares iterative algorithm is presented for estimating the parameter vectors in each ...
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Two modified least squares iterative algorithms for the Lyapunov matrix equations
... get least Frobenius norm solution or least-squares solu- tion with the least Frobenius norm of equation ...gradient-based iterative algorithm and a least-squares ...
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Iterative Hessian Sketch: Fast and Accurate Solution Approximation for Constrained Least-Squares
... unconstrained least-squares but also more gener- ally for a broad class of constrained ...sketching algorithm as a particular case—is sub-optimal relative to the original least-squares ...
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Finite Iterative Algorithm for Solving a Class of Complex Matrix Equation with Two Unknowns of General Form
... solvable case is obtained. Ramadan et al. [8] introduced a complete, general and explicit solution to the Yakubovich matrix equation V − AVF = BW , with F in an arbitrary form. Also with the help of the concept of ...
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Combined state and parameter estimation for Hammerstein systems with time-delay using the Kalman filtering
... gradient algorithm to obtain the parameter estimates, but they did not consider the process noise and the time-delay in the model structure ...based least squares iterative (LSI) ...
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Recursive Least Squares Dictionary Learning Algorithm for Electrical Impedance Tomography
... an iterative reconstruction algorithm by alternating the process of image reconstruction and dictionary ...Recursive Least Squares Dictionary Learning Algorithm (RLS-DLA) is used to ...
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Title: Multicarrier Iterative Generalized Least Squares Data Extraction in Digital Images
... an iterative generalized least squares (IGLS) procedure was developed to blindly recover unknown messages hidden in image hosts via SS ...This algorithm has low complexity and strong recovery ...
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A New Algorithm for Generalized Least Squares Factor Analysis with a Majorization Technique
... In all estimation procedures, iterative algorithms are needed for minimizing loss function f ( ) Θ . They can be roughly classified into gradient and inequality-based algorithms. Here, the gradient ones refer to ...
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A Method for Assessing Customer Harmonic Emission Level Based on the Iterative Algorithm for Least Square Estimation
... complete algorithm for least squares. Completing algorithm in practical use needs large amount of memory and cannot be used in on-line ...
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Iterative least squares method for global positioning system
... used algorithm for position computation from pseudoranges is non-linear Least Squares (LS) ...an iterative procedure, which requires the solution of a linear system of equations in each ...
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MODELING AND SIMULATION OF GRID CONNECTED PHOTOVOLTAIC DISTRIBUTED GENERATION SYSTEM
... Improved algorithm requires less support vector ,which lead to a shorter training time, because in calculation we have fully taken into account that constraints produced by non - support vector have effects on ...
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Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm
... OFR algorithm, the terms are selected into the model one at a ...An iterative orthogonal Forward regression algorithm has been introduced to improve the suboptimal problem where a small modification ...
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Embedded Patient Monitoring System
... extraction algorithm used to extrac t the hidden data from digital media is Multicarrier Iterative Generalized Least Squares (M ...complexity algorithm and it attains the probability of ...
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Off -Grid Direction-of-Arrival Estimation Using a Sparse Array Covariance Matrix
... alternating iterative algorithm that exploits the alternating update of a convex optimization problem and a least-squares problem to solve for these two sparse ...
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Least Squares Solutions of Generalized Sylvester Equation with Xi Satisfies Different Linear Constraint
... the least squares solutions, ...hence iterative method is ...residual algorithm presented by Lei and Liao [15], and combing the trait of problem, we conduct an iterative method for ...
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Predicting bruise susceptibility in apples using Vis/SWNIR technique combined with ensemble learning
... partial least squares model (PLS), partial least squares model combined with successful projection algorithm (SPA-PLS), and selective ensemble learning based on feature selection ...
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A Robust Collaborative Recommendation Algorithm Based on Least Median Squares Estimator
... LMedSMF algorithm, we also conduct experiments on the MovieLens 10M dataset and compare LMedSMF with MMF and LTSMF in terms of accuracy and prediction shift ...
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Least Squares Matrix Algorithm for State Space Modelling of Dynamic Systems
... novel least squares matrix algorithm (LSM) for the analysis of rapidly changing systems using state-space ...LSM algorithm is based on the Hankel structured data matrix ...LSM algorithm ...
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Rapid detection of total nitrogen content in soy sauce using NIR spectroscopy
... 2011) algorithm introduced by Norgaard was used for interval selection in this ...this algorithm is to split the spectra into smaller equidistant regions and, afterwards, develop PLS regression models for ...
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Object Detection and Tracking Using Uncalibrated Cameras
... The work presented in this thesis deals with the estimation of the 3D position of an object from stereo images. The problem is decomposed into a number of tasks, each task being associated with a specific geometric ...
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