Enhancement of the ensemble nonlinear least‐squares algorithm for i4DVar
Sign Up to like & getrecommendations! Published in 2025 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.4981
Abstract: The integral‐correcting 4DVar method (i4DVar) is an evolution of the traditional strongly constrained 4DVar method (s4DVar), which performs much better than s4DVar without increasing computational cost and complexity, and is solved using an ensemble, adjoint‐free… read more here.
Keywords: least squares; enhancement ensemble; nonlinear least; algorithm i4dvar ... See more keywords
Partially-Coupled Recursive Least Squares Algorithm for Multivariate Systems Based on the Model Transformation
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DOI: 10.1109/access.2019.2938322
Abstract: This paper investigates the parameter estimation problem for multivariate output-error systems perturbed by autoregressive noises. To reduce the influence of the colored noises on parameter estimates, we turn the original model into the new model… read more here.
Keywords: recursive least; model transformation; least squares; squares algorithm ... See more keywords
Transient Analysis of the Block Least Mean Squares Algorithm
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DOI: 10.1109/lcomm.2020.3026610
Abstract: It is known that adaptive filtering algorithms may tackle relevant communication tasks. In order to reduce the adaptation rate, the least mean squares algorithm and its normalized version may be implemented in a block manner,… read more here.
Keywords: least mean; mean squares; block; squares algorithm ... See more keywords
A Nonquadratic Algorithm Based on the Extended Recursive Least-Squares Algorithm
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DOI: 10.1109/lsp.2018.2864609
Abstract: In adaptiveg filters, several recursive algorithms have been used to track state-space model vectors in nonstationary environments. So far, kernel recursive algorithms showed the best results in this regard. With this letter, we aim to… read more here.
Keywords: recursive least; least squares; extended recursive; squares algorithm ... See more keywords
A New Iterative Weighted Least Squares Algorithm for 1-D SA Localization
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DOI: 10.1109/lsp.2025.3560535
Abstract: Three-dimensional (3-D) target localization using one-dimensional (1-D) space angle (SA) measurements from linear arrays has recently gained significant attention. Each 1-D SA measurement defines a conical surface, and the intersection of multiple such surfaces determines… read more here.
Keywords: least squares; iterative weighted; new iterative; algorithm localization ... See more keywords
Alternate Iterative Least-Squares Algorithm Based on Nonuniform Phase Shifting for Suppressing Nonlinearity Errors in Fringe Projection Profilometry
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3210959
Abstract: In a fringe projection technique, nonlinearities of used devices are recognized as major factors inducing phase errors, especially when the used camera and projector simultaneously have nonlinear features. In this case, ripple artifacts appear to… read more here.
Keywords: iterative least; phase shifting; squares algorithm; fringe projection ... See more keywords