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Sample eigenvalue based detection of high dimensional signals in white noise using relatively few samples
IEEE Transactions on Signal Processing (IEEE TSP), 2007
17 May 2007
R. Nadakuditi
Alan Edelman
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Papers citing
"Sample eigenvalue based detection of high dimensional signals in white noise using relatively few samples"
29 / 29 papers shown
Spectrally-Corrected and Regularized Linear Discriminant Analysis for Spiked Covariance Model
Hua Li
Wenya Luo
Z. Bai
Huanchao Zhou
Zhangni Pu
244
2
0
08 Oct 2022
Wavelet eigenvalue regression in high dimensions
Statistical Inference for Stochastic Processes : An International Journal devoted to Time Series Analysis and the Statistics of Continuous Time Processes and Dynamical Systems (SISP), 2021
P. Abry
B. C. Boniece
G. Didier
H. Wendt
289
4
0
09 Aug 2021
Optimal projection to improve parametric importance sampling in high dimension
Maxime ElMasri
Jérome Morio
F. Simatos
386
2
0
13 Jul 2021
Distribution of the Scaled Condition Number of Single-spiked Complex Wishart Matrices
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Pasan Dissanayake
Prathapasinghe Dharmawansa
Yang Chen
178
2
0
11 May 2021
Multichannel CRNN for Speaker Counting: an Analysis of Performance
Pierre-Amaury Grumiaux
Srdan Kitic
Laurent Girin
Alexandre Guérin
BDL
144
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
334
2
0
15 Dec 2020
Selecting the number of components in PCA via random signflips
David Hong
Yueqi Sheng
Guang Cheng
556
18
0
05 Dec 2020
Statistical inference for principal components of spiked covariance matrices
Annals of Statistics (Ann. Stat.), 2020
Z. Bao
Xiucai Ding
Jingming Wang
Ke Wang
476
53
0
27 Aug 2020
Tracy-Widom distribution for heterogeneous Gram matrices with applications in signal detection
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Xiucai Ding
Fan Yang
373
19
0
10 Aug 2020
On the frequency domain detection of high dimensional time series
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
A. Rosuel
P. Vallet
P. Loubaton
Xavier Mestre
141
4
0
17 Jul 2020
High-Resolution Speaker Counting In Reverberant Rooms Using CRNN With Ambisonics Features
European Signal Processing Conference (EUSIPCO), 2020
Pierre-Amaury Grumiaux
Srdjan Kitic
Laurent Girin
Alexandre Guérin
253
18
0
17 Mar 2020
Model-aided Deep Neural Network for Source Number Detection
IEEE Signal Processing Letters (SPL), 2019
Yuwen Yang
Fei Gao
Cheng Qian
G. Liao
150
53
0
29 Sep 2019
Model-order selection in statistical shape models
Alma Eguizabal
P. Schreier
D. Ramírez
73
6
0
01 Aug 2018
On the detection of low rank matrices in the high-dimensional regime
A. Chevreuil
P. Loubaton
189
1
0
13 Apr 2018
Optimal prediction in the linearly transformed spiked model
Edgar Dobriban
W. Leeb
A. Singer
309
21
0
07 Sep 2017
High dimensional deformed rectangular matrices with applications in matrix denoising
Xiucai Ding
483
47
0
22 Feb 2017
Sharp detection in PCA under correlations: all eigenvalues matter
Guang Cheng
246
35
0
22 Feb 2016
Performance analysis of an improved MUSIC DoA estimator
P. Vallet
Xavier Mestre
P. Loubaton
155
139
0
04 Mar 2015
Tracy-Widom Distribution for the Largest Eigenvalue of Real Sample Covariance Matrices with General Population
J. Lee
Kevin Schnelli
203
100
0
17 Sep 2014
Asymptotic Linear Spectral Statistics for Spiked Hermitian Random Matrix Models
Damien Passemier
M. Mckay
Yang Chen
266
12
0
26 Feb 2014
Sparse and Functional Principal Components Analysis
Data Science Workshop (DS), 2013
Genevera I. Allen
Michael Weylandt
576
17
0
11 Sep 2013
OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2013
R. Nadakuditi
699
176
0
25 Jun 2013
Asymptotic power of sphericity tests for high-dimensional data
A. Onatski
Marcelo J. Moreira
Marc Hallin
263
151
0
20 Jun 2013
Universality for the largest eigenvalue of sample covariance matrices with general population
Z. Bao
G. Pan
Wang Zhou
597
104
0
21 Apr 2013
When are the most informative components for inference also the principal components?
R. Nadakuditi
173
7
0
05 Feb 2013
Detection of weak signals in high-dimensional complex-valued data
A. Onatski
245
10
0
30 Jul 2012
Maximal Invariants Over Symmetric Cones
E. Ben-David
150
0
0
02 Jan 2012
Estimation of the Number of Spikes, Possibly Equal, in the High-Dimensional Case
Journal of Multivariate Analysis (JMA), 2011
Damien Passemier
Jianfeng Yao
494
41
0
06 Oct 2011
Cross-Validation for Unsupervised Learning
Patrick O. Perry
SSL
248
56
0
16 Sep 2009
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