Virtual covariance matrix reconstruction-based adaptive beamforming for small aperture array. [PDF]
PLoS One, 2023 Chang L, Zhang H, Yang H, Lv T, Tang N.
europepmc +1 more source
Covariance matrix estimation under data-based loss [PDF]
, 2020 Anis M. Haddouche +2 more
openalex +1 more source
Robustness Analysis Of Covariances Matrix Estimates
, 2010 Publication in the conference proceedings of EUSIPCO, Aalborg, Denmark ...
Mahot, Mélanie +3 more
openaire +2 more sources
A Statistical Mechanics Model to Decode Tissue Crosstalk During Graft Formation
Advanced Science, EarlyView.We introduce a statistical mechanics framework to decode the genomic crosstalk governing plant grafting. By integrating evolutionary game theory with transcriptomics, we reconstruct idopNetworks (informative, dynamic, omnidirectional, and personalized networks) that map scion–rootstock interactions.
Ang Dong +4 more
wiley +1 more source
An Introduction to Shrinkage Estimation of the Covariance Matrix: A Pedagogic Illustration
Spreadsheets in Education, 2011 Shrinkage estimation of the covariance matrix of asset returns was introduced to the finance profession several years ago. Since then, the approach has also received considerable attention in various life science studies, as a remedial measure for ...
Clarence C. Y. Kwan
doaj
Statistical learning of protein elastic network from positional covariance matrix. [PDF]
Comput Struct Biotechnol J, 2023 Yu CC, Raj N, Chu JW.
europepmc +1 more source
The affine equivariant sign covariance matrix: asymptotic behavior and efficiencies. [PDF]
We consider the affine equivariant sign covariance matrix (SCM) introduced by Visuri et al. (J. Statist. Plann. Inference 91 (2000) 557). The population SCM is shown to be proportional to the inverse of the regular covariance matrix. The eigenvectors and
Croux, Christophe, Oja, H, Ollila, E
core
Towards an unified theory for testing statistical hypothesis: Multinormal mean with nuisance covariance matrix [PDF]
, 2017 Ming-Tien Tsai
openalex +1 more source
All Organic Fully Integrated Neuromorphic Crossbar Array
Advanced Electronic Materials, EarlyView.In this work, the first fully integrated crossbar array of electrochemical random‐access memory (ECRAM) that is composed entirely of organic materials is represented. This array can perform inference and in situ parallel training and is capable of classifying linearly separable 2D and 3D classification tasks with high accuracy.
Setareh Kazemzadeh +2 more
wiley +1 more source
Satellite Interference Source Direction of Arrival (DOA) Estimation Based on Frequency Domain Covariance Matrix Reconstruction. [PDF]
Sensors (Basel), 2023 Yao J +5 more
europepmc +1 more source