Results 71 to 80 of about 8,828,165 (258)
Sensors, 2018 Sparse Bayesian learning (SBL) is applied to the coprime array for underdetermined wideband direction of arrival (DOA) estimation. Using the augmented covariance matrix, the coprime array can achieve a higher number of degrees of freedom (DOFs) to ...
Yanhua Qin +3 more
doaj +1 more source
The Anatomical Record, EarlyView.Abstract The Iberian wolf (Canis lupus signatus) is an endangered subspecies characterized by highly fragmented populations and increasing human–carnivore conflict across the Iberian Peninsula. Although body mass strongly influences predator–prey dynamics and ecological performance, quantitative assessments of sexual size dimorphism (SSD) and body mass
Leonardo Cotts +4 more
wiley +1 more source
, 2007 The Maximum Likelihood PCA (MLPCA) method has been devised in chemometrics as a generalization of the well-known PCA method in order to derive consistent estimators in the presence of errors with known error distribution.
Markovsky, Ivan +2 more
core +1 more source
Improving Ensemble Forecasting Using Total Least Squares and Lead-Time Dependent Bias Correction
Atmosphere, 2020 Numerical weather prediction (NWP) models produce a quantitative precipitation forecast (QPF), which is vital for a wide range of applications, especially for accurate flash flood forecasting.
Aida Jabbari, Deg-Hyo Bae
doaj +1 more source
On TLS formulation and core reduction for data fitting with generalized models
, 2019 The total least squares (TLS) framework represents a popular data fitting approach for solving matrix approximation problems of the form A(X) ≡ AX ≈ B.
Žáková, Jana +5 more
core +1 more source
Arthritis &Rheumatology, Accepted Article.Objectives The association between skeletal muscle gene expression and knee osteoarthritis (OA) was examined among older adult participants of the Study of Muscle, Mobility and Aging (SOMMA). Methods Inclusion criteria included knee radiographs and bulk RNA sequencing (RNAseq) in vastus lateralis muscle, resulting in 523 participants (56% female ...
Daniel S. Evans +7 more
wiley +1 more source
Identification and Predictive Control by p-norm Minimization
Acta Polytechnica, 2006 Real time system parameter estimation from the set of input-output data is usually solved by minimization of quadratic norm errors of system equations – known in the literature as least squares (LS) or its modification as total least squares (TLS) or ...
J. Pekař, J. Štecha
doaj
IEEE Access, 2019 In this paper, a two-stage mode identification algorithm including preprocessing and identification steps is introduced to solve the problems of measuring noise and inaccurate mode identification in the analysis of low-frequency oscillation (LFO) in a ...
Jian Chen +3 more
doaj +1 more source
Filter factors of truncated tls regularization with multiple observations
, 2017 The total least squares (TLS) and truncated TLS (T-TLS) methods are widely known linear data fitting approaches, often used also in the context of very ill-conditioned, rank-deficient, or ill-posed problems.
Žáková Jana +2 more
core +1 more source
Partial total least squares algorithm [PDF]
, 1990 The Partial Total Least Squares (PTLS) subroutine solves the Total Least Squares (TLS) problem AX ≈ B by using a Partial Singular Value Decomposition (PSVD), hereby improving the computational efficiency of the classical TLS algorithm (a factor 2 ...
Van Huffel, Sabine
core +1 more source