Results 11  20
of
7,170
Generalized Likelihood Ratio Test For Selecting A GeoAcoustic Environmental Model
, 1996
"... A generalized likelihood ratio test is considered for testing acoustic propagation models in the context of environmental parameter inversion. In the following, we use the term "hierarchy of models" to denote a sequence of model structures M1 ; M2 ; . . . in which each particular model st ..."
Abstract
 Add to MetaCart
A generalized likelihood ratio test is considered for testing acoustic propagation models in the context of environmental parameter inversion. In the following, we use the term "hierarchy of models" to denote a sequence of model structures M1 ; M2 ; . . . in which each particular model
A generalized likelihood ratio test for impropriety of complex signals
 IEEE Signal Process. Lett
, 2006
"... Abstract—A complex random vector is called improper if it is correlated with its complex conjugate. We present a hypothesis test for impropriety based on a generalized likelihood ratio (GLR). This GLR is invariant to linear transformations on the data, including rotation and scaling, because proprie ..."
Abstract

Cited by 15 (2 self)
 Add to MetaCart
Abstract—A complex random vector is called improper if it is correlated with its complex conjugate. We present a hypothesis test for impropriety based on a generalized likelihood ratio (GLR). This GLR is invariant to linear transformations on the data, including rotation and scaling, because
Generalized Likelihood Ratio Tests Based on The Asymptotic Variant of The Minimax Approach
"... Maximum likelihood ratio test statistics may not exist in general in nonparametric function estimation setting. In this paper a new class of generalized likelihood ratio (GLR) tests is proposed for nonparametric goodnessoffit testing via the asymptotic variant of the minimax approach. The proposed ..."
Abstract
 Add to MetaCart
Maximum likelihood ratio test statistics may not exist in general in nonparametric function estimation setting. In this paper a new class of generalized likelihood ratio (GLR) tests is proposed for nonparametric goodnessoffit testing via the asymptotic variant of the minimax approach
Generalized Likelihood Ratio Tests for FunctionalCoecient Partially Linear Regression Model
"... Key words: Ecient estimate; Functionalcoecient partially linear regression model; Generalized likelihood ..."
Abstract
 Add to MetaCart
Key words: Ecient estimate; Functionalcoecient partially linear regression model; Generalized likelihood
Target Tracking By Visual Servoing Using The Generalized Likelihood Ratio Test
, 1995
"... : This paper deals with the use of an estimation technique for a real time visual target tracking. More precisely, we describe a tracking system based on Kalman filtering and the generalized likelihood ratio (GLR) algorithm. We first introduce the visual servoing approach and the application of the ..."
Abstract
 Add to MetaCart
: This paper deals with the use of an estimation technique for a real time visual target tracking. More precisely, we describe a tracking system based on Kalman filtering and the generalized likelihood ratio (GLR) algorithm. We first introduce the visual servoing approach and the application
Generalized likelihood ratio tests for complex fMRI data
"... Functional magnetic resonance imaging (fMRI) intends to detect significant neural activity by means of statistical data processing. Commonly used statistical tests include the Studentt test, analysis of variance, and the generalized linear model test. A key assumption underlying these methods is th ..."
Abstract
 Add to MetaCart
Functional magnetic resonance imaging (fMRI) intends to detect significant neural activity by means of statistical data processing. Commonly used statistical tests include the Studentt test, analysis of variance, and the generalized linear model test. A key assumption underlying these methods
Multivariate Regression Generalized Likelihood Ratio Tests for FMRI Activation
, 2002
"... In neuroscience, an important research question to be investigated, is whether a region or regions of the brain are being activated when a subject is presented a stimulus. A few methods are in use to address this question but they do not jointly take into account the spatial relationship among the ..."
Abstract

Cited by 1 (1 self)
 Add to MetaCart
In neuroscience, an important research question to be investigated, is whether a region or regions of the brain are being activated when a subject is presented a stimulus. A few methods are in use to address this question but they do not jointly take into account the spatial relationship among the set of voxels under consideration. Multivariate regression can determine whether the set of voxels in one, or several regions of interest are related to the experimental paradigm, in addition to individual measures of activation which are different. 1
The adaptive coherence estimator is the generalized likelihood ratio test for a class of heterogeneous environments
 IEEE Signal Processing Letters
, 2008
"... Abstract—The adaptive coherence estimator (ACE) is known to be the generalized likelihood ratio test (GLRT) in partially homogeneous environments, i.e., when the covariance matrix of the secondary data is proportional to the covariance matrix of the vector under test (or =). In this letter, we show ..."
Abstract

Cited by 6 (2 self)
 Add to MetaCart
Abstract—The adaptive coherence estimator (ACE) is known to be the generalized likelihood ratio test (GLRT) in partially homogeneous environments, i.e., when the covariance matrix of the secondary data is proportional to the covariance matrix of the vector under test (or =). In this letter, we
ECGLRT: Detecting weak plumes in nonGaussian hyperspectral clutter using an ellipticallycontoured generalized likelihood ratio test
 Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), p. I:221
, 2008
"... We investigate the behavior of a detector for weak gaseous plumes in hyperspectral imagery that can be derived in terms of a generalized likelihood ratio test (GLRT) applied to an ellipticallycontoured (EC) model for the distribution of background clutter. Two limiting cases of this ECGLRT detect ..."
Abstract

Cited by 3 (3 self)
 Add to MetaCart
We investigate the behavior of a detector for weak gaseous plumes in hyperspectral imagery that can be derived in terms of a generalized likelihood ratio test (GLRT) applied to an ellipticallycontoured (EC) model for the distribution of background clutter. Two limiting cases of this EC
Generalized likelihood ratio test for voiced/unvoiced decision using the harmonic plus noise model
 In Proc. Of Int. Conf. On Acoustic, Speech, and Signal Processing, 2003, Hong Kong
"... Abstract—In this paper, a novel method for voicedunvoiced decision within a pitch tracking algorithm is presented. Voicedunvoiced decision is required for many applications, including modeling for analysis/synthesis, detection of model changes for segmentation purposes and signal characterization f ..."
Abstract

Cited by 9 (3 self)
 Add to MetaCart
for indexing and recognition applications. The proposed method is based on the generalized likelihood ratio test (GLRT) and assumes colored Gaussian noise with unknown covariance. Under voiced hypothesis, a harmonic plus noise model is assumed. The derived method is combined with a maximum a
Results 11  20
of
7,170