On the behavior of large empirical autocovariance matrices between the past and the future
From MaRDI portal
Publication:3385480
DOI10.1142/S2010326321500210zbMath1480.15042arXiv1911.08933MaRDI QIDQ3385480
Philippe Loubaton, D. Tieplova
Publication date: 18 December 2021
Published in: Random Matrices: Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1911.08933
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Large sample behaviour of high dimensional autocovariance matrices
- The singular values and vectors of low rank perturbations of large rectangular random matrices
- Robust spiked random matrices and a robust G-MUSIC estimator
- On the almost sure location of the singular values of certain Gaussian block-Hankel large random matrices
- Free probability and random matrices
- Identifying the number of factors from singular values of a large sample auto-covariance matrix
- The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices
- The largest eigenvalues of finite rank deformation of large Wigner matrices: Convergence and nonuniversality of the fluctuations
- The asymptotic variance of subspace estimates.
- Analysis of the limiting spectral distribution of large dimensional random matrices
- A subspace estimator for fixed rank perturbations of large random matrices
- The norm of polynomials in large random and deterministic matrices
- On the Marčenko-Pastur law for linear time series
- On singular value distribution of large-dimensional autocovariance matrices
- On the empirical distribution of eigenvalues of large dimensional information-plus-noise-type matrices
- Spectral properties of polynomials in independent Wigner and deterministic matrices
- Limiting spectral distribution of a symmetrized auto-cross covariance matrix
- Deterministic equivalents for certain functionals of large random matrices
- A new application of random matrices: \(\operatorname{Ext} (C_{\text{red}}^*(F_2))\) is not a group
- Large system performance of linear multiuser receivers in multipath fading channels
- The outliers among the singular values of large rectangular random matrices with additive fixed rank deformation
- Free Random Variables
- Matrix Analysis
- Modified Subspace Algorithms for DoA Estimation With Large Arrays
- Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples
- Statistical Inference in Large Antenna Arrays Under Unknown Noise Pattern
- Estimation of Toeplitz Covariance Matrices in Large Dimensional Regime With Application to Source Detection
- Performance Analysis of Spatial Smoothing Schemes in the Context of Large Arrays
- Strong asymptotic freeness for Wigner and Wishart matrices
- Linear Stochastic Systems
This page was built for publication: On the behavior of large empirical autocovariance matrices between the past and the future