نتایج جستجو برای: covariance matching

تعداد نتایج: 129616  

2017
Y. Moudden P. Abrial P. Vielva J.-B. Melin Jean-Luc Starck J.-F. Cardoso J. Delabrouille M. K. Nguyen J.-L. Starck

Spectral matching ICA (SMICA) is a source separation method based on covariance matching in Fourier space that was designed to address in a flexible way some of the general problems raised by Cosmic Microwave Background data analysis. However, a common issue in astronomical data analysis is that the observations are unevenly sampled or incomplete maps with missing patches or intentionally maske...

Journal: :Inf. Sci. 2010
Qing Guo Siyue Chen Henry Leung Shutian Liu

Article history: Received 14 November 2009 Received in revised form 29 April 2010 Accepted 6 May 2010

2006
CHUNSHENG MA

There are many reasons for the popular use of the isotropic or geometrically anisotropic covariance function and variogram in spatial statistics. A less known reason demonstrated in this paper is that an isotropic or geometrically anisotropic model would be the only choice in certain circumstances, for instance, when the underlying random field is smooth enough.

Journal: :International Journal of Energy Research 2021

As for the cell-to-cell inconsistency of packing lithium-ion batteries, accurate equivalent modeling plays a significant role in working characteristic monitoring and improving safety protection quality under complex conditions. In this work, novel covariance matching–electrical circuit method is proposed to realize adaptive state characterization by considering internal reaction features, an i...

Journal: :Electronics 2023

Matching filtering has been proven to be the optimal spectrum sensing algorithm under Gaussian white noise. However, application of this is limited because its dependence on prior information. In paper, we propose a based blind matching (BMF) by using correlation between adjacent received signals dispersive channels. Theoretical analysis shows that proposed can achieve performance comparable wi...

Journal: :Journal of the American Statistical Association 2021

The spiked covariance model has gained increasing popularity in high-dimensional data analysis. A fundamental problem is determination of the number eigenvalues, K. For estimation K, most attention focused on use top eigenvalues sample matrix, and there little investigation into proper ways using bulk to estimate We propose a principled approach incorporating Our method imposes working residual...

2008
José Antonio Belinchón

The behavior of the ”constants”, G, c, h̄, a, e, mi and Λ, considering them as variable, in the framework of a flat cosmological model with FRW symmetries described by a bulk viscous fluid and considering mechanisms of adiabatic matter creation are investigated. Within two models; one with radiation predominance and another of matter predominance, this behavior are studied. We find that with the...

2006
BIN MENG

We study the operator-valued free Fisher information of random matrices in an operator-valued noncommutative probability space. We obtain a formula for Φ M2(B) (A,A,M2(B), η), where A ∈ M2(B) is a 2 × 2 operator matrix on B, and η is linear operators on M2(B). Then we consider a special setting: A is an operator-valued semicircular matrix with conditional expectation covariance, and find that Φ...

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