ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 0705.2605
  4. Cited By
Sample eigenvalue based detection of high dimensional signals in white
  noise using relatively few samples

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

17 May 2007
R. Nadakuditi
Alan Edelman
ArXiv (abs)PDFHTML

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

22 / 22 papers shown
Title
Wavelet eigenvalue regression in high dimensions
Wavelet eigenvalue regression in high dimensions
P. Abry
B. C. Boniece
G. Didier
H. Wendt
65
4
0
09 Aug 2021
Distribution of the Scaled Condition Number of Single-spiked Complex
  Wishart Matrices
Distribution of the Scaled Condition Number of Single-spiked Complex Wishart Matrices
Pasan Dissanayake
Prathapasinghe Dharmawansa
Yang Chen
20
1
0
11 May 2021
Multichannel CRNN for Speaker Counting: an Analysis of Performance
Multichannel CRNN for Speaker Counting: an Analysis of Performance
Pierre-Amaury Grumiaux
Srdan Kitic
Laurent Girin
Alexandre Guérin
BDL
22
1
0
06 Jan 2021
Selecting the number of components in PCA via random signflips
Selecting the number of components in PCA via random signflips
David Hong
Yueqi Sheng
Yan Sun
116
16
0
05 Dec 2020
Tracy-Widom distribution for heterogeneous Gram matrices with
  applications in signal detection
Tracy-Widom distribution for heterogeneous Gram matrices with applications in signal detection
Xiucai Ding
Fan Yang
48
15
0
10 Aug 2020
On the frequency domain detection of high dimensional time series
On the frequency domain detection of high dimensional time series
A. Rosuel
P. Vallet
P. Loubaton
Xavier Mestre
9
4
0
17 Jul 2020
High-Resolution Speaker Counting In Reverberant Rooms Using CRNN With
  Ambisonics Features
High-Resolution Speaker Counting In Reverberant Rooms Using CRNN With Ambisonics Features
Pierre-Amaury Grumiaux
Srdjan Kitic
Laurent Girin
Alexandre Guérin
77
17
0
17 Mar 2020
Model-aided Deep Neural Network for Source Number Detection
Model-aided Deep Neural Network for Source Number Detection
Yuwen Yang
Fei Gao
Cheng Qian
G. Liao
41
45
0
29 Sep 2019
Model-order selection in statistical shape models
Model-order selection in statistical shape models
Alma Eguizabal
P. Schreier
D. Ramírez
17
6
0
01 Aug 2018
On the detection of low rank matrices in the high-dimensional regime
On the detection of low rank matrices in the high-dimensional regime
A. Chevreuil
P. Loubaton
19
1
0
13 Apr 2018
Optimal prediction in the linearly transformed spiked model
Optimal prediction in the linearly transformed spiked model
Edgar Dobriban
W. Leeb
A. Singer
83
20
0
07 Sep 2017
High dimensional deformed rectangular matrices with applications in
  matrix denoising
High dimensional deformed rectangular matrices with applications in matrix denoising
Xiucai Ding
90
46
0
22 Feb 2017
Performance analysis of an improved MUSIC DoA estimator
Performance analysis of an improved MUSIC DoA estimator
P. Vallet
Xavier Mestre
P. Loubaton
48
118
0
04 Mar 2015
Tracy-Widom Distribution for the Largest Eigenvalue of Real Sample
  Covariance Matrices with General Population
Tracy-Widom Distribution for the Largest Eigenvalue of Real Sample Covariance Matrices with General Population
J. Lee
Kevin Schnelli
71
96
0
17 Sep 2014
Asymptotic Linear Spectral Statistics for Spiked Hermitian Random Matrix
  Models
Asymptotic Linear Spectral Statistics for Spiked Hermitian Random Matrix Models
Damien Passemier
M. Mckay
Yang Chen
97
12
0
26 Feb 2014
OptShrink: An algorithm for improved low-rank signal matrix denoising by
  optimal, data-driven singular value shrinkage
OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage
R. Nadakuditi
209
163
0
25 Jun 2013
Asymptotic power of sphericity tests for high-dimensional data
Asymptotic power of sphericity tests for high-dimensional data
A. Onatski
Marcelo J. Moreira
Marc Hallin
102
150
0
20 Jun 2013
Universality for the largest eigenvalue of sample covariance matrices
  with general population
Universality for the largest eigenvalue of sample covariance matrices with general population
Z. Bao
G. Pan
Wang Zhou
163
101
0
21 Apr 2013
When are the most informative components for inference also the
  principal components?
When are the most informative components for inference also the principal components?
R. Nadakuditi
79
7
0
05 Feb 2013
Detection of weak signals in high-dimensional complex-valued data
Detection of weak signals in high-dimensional complex-valued data
A. Onatski
83
10
0
30 Jul 2012
Estimation of the Number of Spikes, Possibly Equal, in the
  High-Dimensional Case
Estimation of the Number of Spikes, Possibly Equal, in the High-Dimensional Case
Damien Passemier
Jianfeng Yao
115
39
0
06 Oct 2011
Cross-Validation for Unsupervised Learning
Cross-Validation for Unsupervised Learning
Patrick O. Perry
SSL
96
53
0
16 Sep 2009
1