Results 31 to 40 of about 1,514,703 (285)

Total least-squares EIO model, algorithms and applications

open access: yesGeodesy and Geodynamics, 2019
A functional model named EIO (Errors-In-Observations) is proposed for general TLS (total least-squares) adjustment. The EIO model only considers the correction of the observation vector, but doesn't consider to correct all elements in the design matrix ...
Xingsheng Deng   +3 more
doaj   +1 more source

Prediction bounds for higher order total variation regularized least squares

open access: yes, 2020
We establish adaptive results for trend filtering: least squares estimation with a penalty on the total variation of $(k-1)^{\rm th}$ order differences.
Ortelli, Francesco, van de Geer, Sara
core   +1 more source

The widely linear quaternion recursive total least squares [PDF]

open access: yes, 2015
This is the author accepted manuscript. The final version is available from IEEE via http://dx.doi.org/10.1109/ICASSP.2015.7178593A widely linear quaternion recursive total least squares (WLQRTLS) algorithm is introduced for the processing of Q- improper
Constantinides, Anthony G   +3 more
core   +1 more source

Unifying Least Squares, Total Least Squares and Data Least Squares [PDF]

open access: yes, 2002
The standard approaches to solving overdetermined linear systems A x ≈ b construct minimal corrections to the vector b and/or the matrix A such that the corrected system is compatible. In ordinary least squares (LS) the correction is restricted to b, while in data least squares (DLS) it is restricted to A. In scaled total least squares (Scaled TLS) [15]
Christopher C. Paige, Zdeněk Strakoš
openaire   +1 more source

PERFORMING IMPROVED TWO-STEP CAMERA CALIBRATION WITH WEIGHTED TOTAL LEAST-SQUARES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
In order to improve the Tsai's two-step camera calibration method, we present a camera model which accounts for major sources of lens distortion, namely: radial, decentering, and thin prism distortions.
J. Lu
doaj   +1 more source

Downscaling GRACE total water storage change using partial least squares regression

open access: yesScientific Data, 2021
Measurement(s) Gravity Technology Type(s) gravity field theory • computational modeling technique Factor Type(s) geographic location • temporal interval Sample Characteristic - Environment water body Sample Characteristic - Location global Machine ...
Bramha Dutt Vishwakarma   +2 more
doaj   +1 more source

Scaled total least squares fundamentals [PDF]

open access: yesNumerische Mathematik, 2002
The authors analyse a particularly useful formulation of the scaled total least squares problem. The analysis is based on a new assumption that guarantees existence and uniqueness of meaningful solution for real positive parameters. The proposed in the paper theoretical considerations complex data are allowed.
Christopher C. Paige, Zdenek Strakos
openaire   +1 more source

Condition numbers of the mixed least squares-total least squares problem revisited

open access: yesLinear and Multilinear Algebra, 2022
20 ...
Qiaohua Liu, Qian Zhang, Dongmei Shen
openaire   +2 more sources

Least Mean Squares and Recursive Least Squares Algorithms for Total Harmonic Distortion Reduction Using Shunt Active Power Filter Control

open access: yesEnergies, 2019
This paper deals with the use of least mean squares (LMS, NLMS) and recursive least squares (RLS) algorithms for total harmonic distortion (THD) reduction using shunt active power filter (SAPF) control.
Radek Martinek   +4 more
doaj   +1 more source

Model estimation of cerebral hemodynamics between blood flow and volume changes: a data-based modeling approach [PDF]

open access: yes, 2008
It is well known that there is a dynamic relationship between cerebral blood flow (CBF) and cerebral blood volume (CBV). With increasing applications of functional MRI, where the blood oxygen-level-dependent signals are recorded, the understanding and ...
Billings, S.A.   +6 more
core   +2 more sources

Home - About - Disclaimer - Privacy