Non-parametric detection of the number of signals: Hypothesis testing and random matrix theory
S Kritchman, B Nadler - IEEE Transactions on Signal …, 2009 - ieeexplore.ieee.org
Detection of the number of signals embedded in noise is a fundamental problem in signal
and array processing. This paper focuses on the non-parametric setting where no …
and array processing. This paper focuses on the non-parametric setting where no …
Optshrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage
RR Nadakuditi - IEEE Transactions on Information Theory, 2014 - ieeexplore.ieee.org
The truncated singular value decomposition of the measurement matrix is the optimal
solution to the representation problem of how to best approximate a noisy measurement …
solution to the representation problem of how to best approximate a noisy measurement …
Performance analysis of an improved MUSIC DoA estimator
This paper addresses the statistical performance of subspace DoA estimation using a
sensor array, in the asymptotic regime where the number of samples and sensors both …
sensor array, in the asymptotic regime where the number of samples and sensors both …
Determining the number of components in a factor model from limited noisy data
S Kritchman, B Nadler - Chemometrics and Intelligent Laboratory Systems, 2008 - Elsevier
Determining the number of components in a linear mixture model is a fundamental problem
in many scientific fields, including chemometrics and signal processing. In this paper we …
in many scientific fields, including chemometrics and signal processing. In this paper we …
A nonlocal similarity learning-based tensor completion model with its application in intelligent transportation system
C Dai, Y Zhang, Z Zheng - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Predicting the traffic flow has been one of the most important applications in intelligent
transportation system. However, the missing information in the traffic data will directly affect …
transportation system. However, the missing information in the traffic data will directly affect …
Nonparametric detection of signals by information theoretic criteria: Performance analysis and an improved estimator
B Nadler - IEEE Transactions on Signal Processing, 2010 - ieeexplore.ieee.org
Determining the number of sources from observed data is a fundamental problem in many
scientific fields. In this paper we consider the nonparametric setting, and focus on the …
scientific fields. In this paper we consider the nonparametric setting, and focus on the …
Source enumeration via MDL criterion based on linear shrinkage estimation of noise subspace covariance matrix
Numerous methodologies have been investigated for source enumeration in sample-
starving environments. For those having their root in the framework of random matrix theory …
starving environments. For those having their root in the framework of random matrix theory …
Nested vector-sensor array processing via tensor modeling
We propose a new class of nested vector-sensor arrays which is capable of significantly
increasing the degrees of freedom (DOF). This is not a simple extension of the nested scalar …
increasing the degrees of freedom (DOF). This is not a simple extension of the nested scalar …
Detection of the number of signals by signal subspace matching
We present a novel and computationally simple solution to the problem of detecting the
number of signals, which is applicable to both white and colored noise, and to a very small …
number of signals, which is applicable to both white and colored noise, and to a very small …
Asymptotic power of sphericity tests for high-dimensional data
Asymptotic power of sphericity tests for high-dimensional data Page 1 The Annals of Statistics
2013, Vol. 41, No. 3, 1204–1231 DOI: 10.1214/13-AOS1100 © Institute of Mathematical …
2013, Vol. 41, No. 3, 1204–1231 DOI: 10.1214/13-AOS1100 © Institute of Mathematical …