Sample eigenvalue based detection of high dimensional signals in white noise using relatively few samples

17 May 2007

Papers citing "Sample eigenvalue based detection of high dimensional signals in white noise using relatively few samples"

29 / 29 papers shown

Title
Spectrally-Corrected and Regularized Linear Discriminant Analysis for Spiked Covariance Model Hua Li Wenya Luo Z. Bai Huanchao Zhou Zhangni Pu 91 2 0 08 Oct 2022
Wavelet eigenvalue regression in high dimensions P. Abry B. C. Boniece G. Didier H. Wendt 101 4 0 09 Aug 2021
Optimal projection to improve parametric importance sampling in high dimension Maxime ElMasri Jérome Morio F. Simatos 106 2 0 13 Jul 2021
Distribution of the Scaled Condition Number of Single-spiked Complex Wishart Matrices Pasan Dissanayake Prathapasinghe Dharmawansa Yang Chen 66 1 0 11 May 2021
Multichannel CRNN for Speaker Counting: an Analysis of Performance Pierre-Amaury Grumiaux Srdan Kitic Laurent Girin Alexandre Guérin BDL 41 1 0 06 Jan 2021
Limiting laws and consistent estimation criteria for fixed and diverging number of spiked eigenvalues Jian-bo Hu Jingfei Zhang Jianhua Guo Ji Zhu 77 2 0 15 Dec 2020
Selecting the number of components in PCA via random signflips David Hong Yueqi Sheng Guang Cheng 150 17 0 05 Dec 2020
Statistical inference for principal components of spiked covariance matrices Z. Bao Xiucai Ding Jingming Wang Ke Wang 151 52 0 27 Aug 2020
Tracy-Widom distribution for heterogeneous Gram matrices with applications in signal detection Xiucai Ding Fan Yang 109 16 0 10 Aug 2020
On the frequency domain detection of high dimensional time series A. Rosuel P. Vallet P. Loubaton Xavier Mestre 17 4 0 17 Jul 2020
High-Resolution Speaker Counting In Reverberant Rooms Using CRNN With Ambisonics Features Pierre-Amaury Grumiaux Srdjan Kitic Laurent Girin Alexandre Guérin 90 17 0 17 Mar 2020
Model-aided Deep Neural Network for Source Number Detection Yuwen Yang Fei Gao Cheng Qian G. Liao 52 47 0 29 Sep 2019
Model-order selection in statistical shape models Alma Eguizabal P. Schreier D. Ramírez 25 6 0 01 Aug 2018
On the detection of low rank matrices in the high-dimensional regime A. Chevreuil P. Loubaton 39 1 0 13 Apr 2018
Optimal prediction in the linearly transformed spiked model Edgar Dobriban W. Leeb A. Singer 130 20 0 07 Sep 2017
High dimensional deformed rectangular matrices with applications in matrix denoising Xiucai Ding 168 47 0 22 Feb 2017
Sharp detection in PCA under correlations: all eigenvalues matter Guang Cheng 97 33 0 22 Feb 2016
Performance analysis of an improved MUSIC DoA estimator P. Vallet Xavier Mestre P. Loubaton 70 121 0 04 Mar 2015
Tracy-Widom Distribution for the Largest Eigenvalue of Real Sample Covariance Matrices with General Population J. Lee Kevin Schnelli 102 96 0 17 Sep 2014
Asymptotic Linear Spectral Statistics for Spiked Hermitian Random Matrix Models Damien Passemier M. Mckay Yang Chen 135 12 0 26 Feb 2014
Sparse and Functional Principal Components Analysis Genevera I. Allen Michael Weylandt 112 17 0 11 Sep 2013
OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage R. Nadakuditi 302 166 0 25 Jun 2013
Asymptotic power of sphericity tests for high-dimensional data A. Onatski Marcelo J. Moreira Marc Hallin 146 151 0 20 Jun 2013
Universality for the largest eigenvalue of sample covariance matrices with general population Z. Bao G. Pan Wang Zhou 224 101 0 21 Apr 2013
When are the most informative components for inference also the principal components? R. Nadakuditi 103 7 0 05 Feb 2013
Detection of weak signals in high-dimensional complex-valued data A. Onatski 103 10 0 30 Jul 2012
Maximal Invariants Over Symmetric Cones E. Ben-David 46 0 0 02 Jan 2012
Estimation of the Number of Spikes, Possibly Equal, in the High-Dimensional Case Damien Passemier Jianfeng Yao 190 39 0 06 Oct 2011
Cross-Validation for Unsupervised Learning Patrick O. Perry SSL 133 54 0 16 Sep 2009