Signal detection via spectral theory of large dimensional random matrices

Type: Article

Publication Date: 1992-01-01

Citations: 80

DOI: https://doi.org/10.1109/78.149981

Locations

  • IEEE Transactions on Signal Processing - View

Similar Works

Action Title Year Authors
+ Spectral Theory of Large Dimensional Random Matrices Applied to Signal Detection 2022 J. W. Silverstein
Patrick L. Combettes
+ Large dimensional random matrix theory for signal detection and estimation in array processing 2003 Jack W. Silverstein
Patrick L. Combettes
+ An Empirical Method for Estimating the Number of Signal Sources 2015 Dayan Guimarães
Patricia Maria Soares
Rausley A. A. de Souza
+ PDF Chat Random matrices and applications to statistical signal processing 2011 Pascal Vallet
+ PDF Chat Signal Processing in Large Systems: A New Paradigm 2012 Romain Couillet
Mérouane Debbah
+ Signal Processing in Large Systems: a New Paradigm 2011 Romain Couillet
Mérouane Debbah
+ Signal Processing in Large Systems: a New Paradigm 2011 Romain Couillet
Mérouane Debbah
+ Large dimensional random matrices 2007 Guangming Pan
+ Performance of Statistical Tests for Single Source Detection using Random Matrix Theory 2009 Pascal Bianchi
Mérouane Debbah
Mylène Maïda
Jamal Najım
+ Performance of Statistical Tests for Single Source Detection using Random Matrix Theory 2009 Pascal Bianchi
Mérouane Debbah
Mylène Maïda
Jamal Najım
+ PDF Chat Performance of Statistical Tests for Single-Source Detection Using Random Matrix Theory 2011 Paola Bianchi
Mérouane Debbah
Marcello Maida
Jamal Najım
+ Improved Estimation of Eigenvalues and Eigenvectors of Covariance Matrices Using Their Sample Estimates 2008 Xavier Mestre
+ Eigenvalues and eigenvectors of large sample covariance matrices 2007 Guangming Pan
+ Spectral analysis of normalized sample covariance matrices with large dimension and small sample size 2013 Binbin Chen
+ Large Random Matrices 2012 Robert C. Qiu
Zhen Hu
Husheng Li
Michael C. Wicks
+ Eigenvalue-based cooperative spectrum sensing with finite samples/sensors 2012 Sheng Wang
Nazanin Rahnavard
+ Non-Parametric Detection of the Number of Signals: Hypothesis Testing and Random Matrix Theory 2009 Shira Kritchman
Boaz Nadler
+ PDF Chat Fundamental Limit of Sample Generalized Eigenvalue Based Detection of Signals in Noise Using Relatively Few Signal-Bearing and Noise-Only Samples 2010 Raj Rao Nadakuditi
Jack W. Silverstein
+ Large random matrix approach for testing independence of a large number of Gaussian time series 2020 Philippe Loubaton
Alexis Rosuel
+ PDF Chat Eigenvalue Estimation of Parameterized Covariance Matrices of Large Dimensional Data 2012 Jianfeng Yao
Abla Kammoun
Jamal Najım