Results 81 to 90 of about 924,331 (302)
DOA Estimation of Completely Polarized Signals by One-Bit Cross-Dipole Arrays
The one-bit cross-dipole array employs one-bit quantization to reduce the sampling system overhead while extracting polarization information from electromagnetic signals, thereby lowering the system complexity of the polarization array.
Yu Wang +5 more
doaj +1 more source
Smoothing Dynamic Systems with State-Dependent Covariance Matrices
Kalman filtering and smoothing algorithms are used in many areas, including tracking and navigation, medical applications, and financial trend filtering.
Aravkin, Aleksandr Y., Burke, James V.
core +1 more source
Linear transformations of variance/covariance matrices [PDF]
Many applications in crystallography require the use of linear transformations on parameters and their standard uncertainties. While the transformation of the parameters is textbook knowledge, the transformation of the standard uncertainties is more complicated and needs the full variance/covariance matrix. For the transformation of second-rank tensors
Parois, P.J.A., Lutz, M.
openaire +4 more sources
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
In this article, an improved real-valued dimension-reduction MUSIC (IRDR-MUSIC) algorithm is proposed for a crossed-dipole array. Initially, conjugate symmetry of the spatial component in the manifold vector is derived such that two real-valued matrices ...
Hao Nan +3 more
doaj +1 more source
Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan +9 more
wiley +1 more source
Small Sample Motor Imagery Classification Using Regularized Riemannian Features
Motor imagery-based electroencephalogram brain-computer interface (BCI) performance suffers from huge variations within and across subjects. This is due to different spatial and temporal characteristics among the subjects. To address these variabilities,
Amardeep Singh +2 more
doaj +1 more source
Pose estimation by extended Kalman filter using noise covariance matrices based on sensor output
This paper presents an extended Kalman filter for pose estimation using noise covariance matrices based on sensor output. Compact and lightweight nine-axis motion sensors are used for motion analysis in widely various fields such as medical welfare and ...
Ayuko Saito +3 more
doaj +1 more source
Testing the equality of multiple high-dimensional covariance matrices
In this paper, we develop a new test procedure for testing the homogeneity of multiple high-dimensional covariance matrices, where the populations may not be multivariate normal.
Jieqiong Shen
doaj +1 more source
Geometric methods for estimation of structured covariances [PDF]
We consider problems of estimation of structured covariance matrices, and in particular of matrices with a Toeplitz structure. We follow a geometric viewpoint that is based on some suitable notion of distance. To this end, we overview and compare several
Georgiou, Tryphon +2 more
core +1 more source

