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Least Squares Optimization
The last chapter concluded with a nonlinear least squares formulation of the (full) SLAM problem and provided an intuitive analogy that helps to...
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Least-Squares Algorithms for Complex-Valued Blind Source Separation
Blind source separation (BSS), as a digital signal processing approach, focuses on estimating the underlying source signals from their linear...
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Least Squares Smoothing of Nonlinear Systems
We consider the fixed interval smoothing problem for data from linear or nonlinear models where there is a priori information about the boundary...
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Non-linear Weighted Least Squares Cooperative Localization Based on Multi Radar/Infrared
For the problems of passive localization of targets by multiple azimuths only between infrared sensors and large detection errors of radar sensors,...
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Distributed Adaptive Thresholding Graph Recursive Least Squares Algorithm
In this paper, we present a novel approach for the reconstruction of sparse graph signals using a distributed adaptive thresholding recursive least...
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Weighted Tensor Least Angle Regression for Solving Sparse Weighted Multilinear Least Squares Problems
Sparse weighted multilinear least-squares is a generalization of the sparse multilinear least-squares problem, where prior information about, e.g.,...
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A Fuzzy Convex Nonparametric Least Squares Method with Different Shape Constraints
The main drawback of the typical fuzzy least squares approach is that the resulting fuzzy regression model is linear, and the model's accuracy...
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High Order Nonlinear Least-Squares for Satellite Pose Estimation
This paper introduces a high-order nonlinear least-squares method for solving six-degree-of-freedom (6-DOF) navigation of satellite maneuvers. The...
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A New Partially-coupled Recursive Least Squares Algorithm for Multivariate Equation-error Systems
This paper focuses on the parameter estimation problems for multivariate pseudo-linear systems. Based on the parameters coupling characteristic of...
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The posterior selection method for hyperparameters in regularized least squares method
The selection of hyperparameters in regularized least squares plays an important role in large-scale system identification. The traditional methods...
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Least Squares and Related
This chapter begins with a review of least squares and Procrustes problems and continues with a discussion of least squares in the linear separable...
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Joint sparse least squares via generalized fused lasso penalty for identifying nonlinear dynamical systems
This paper proposes a joint sparse least-square model that utilizes a generalized fused lasso penalty to jointly identify governing equations of...
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Signal Frequency Estimation via Kalman Filter and Least Squares Approach for Non-uniform Signals
An innovative approach for estimating power system characteristics has been devised, and it is predicated on the Kalman filter (KF) and least squares...
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Robust Nonlinear Least Squares Control Allocation for Overactuated Aircraft
The control allocation with uncertain and nonlinear control effectiveness matrix is studied for an overactuated aircraft. For the nonlinear control...
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On Weighted Least Squares Estimators of Parameters of a Chirp Model
The least squares method seems to be a natural choice in estimating the parameters of a chirp model. But the least squares estimators are very...
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Joint parameter and time-delay estimation for a class of Wiener models based on a new orthogonal least squares algorithm
This paper focuses on the identification of piecewise-linear Wiener systems alone with multiple inputs, unknown time-delays and system orders in...
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Fuzzy Transform and Least-Squares Fuzzy Transform: Comparison and Application
Fuzzy transform is a novel and well-founded soft computing method for reconstruction and denoising of image data. Recently, a least-squares fuzzy...
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A Comparative Study on Two Mixed Least Squares Meshless Models with Improved SPH, MPS and CPM Methods to Solve Elasticity Problems
This paper investigates the accuracy of several meshless methods to solve elasticity problems. The methods include the well-known smoothed particle...
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Chaos Game Optimization-Least Squares Algorithm for Photovoltaic Parameter Estimation
Estimating the parameters of photovoltaic (PV) models accurately is vital to increase the effectiveness of PV systems. During the past few years,...
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Early Stop** Criterion for Recursive Least Squares Training of Behavioural Models
The necessity of the rapid evolution of wireless communications, with continuously increasing demands for higher data rates and capacity Zheng (Big...
