Results 261 to 270 of about 10,202,465 (303)

Generalized Likelihood Ratio Test for GNSS Spoofing Detection in Devices With IMU

IEEE Transactions on Information Forensics and Security, 2021
Spoofing attacks in global navigation satellite systems (GNSSs) aim at inducing the estimation of a fake position at the victim receiver. Many devices, including smartphones, are nowadays equipped with both a GNSS receiver and an inertial measurement unit (IMU), which also provides location/movement information, while being immune from GNSS attacks. We
Ceccato M., Formaggio F., Laurenti N., Tomasin S.   +3 more
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A nonlinear version of the generalized likelihood ratio test

Proceedings of the 33rd Chinese Control Conference, 2014
In this paper, a new version of the generalized likelihood ratio (GLR) test is proposed to deal with the fault diagnosis problem in nonlinear systems. The unscented Kalman filter (UKF) is utilized for state estimation and innovation generation. The fault signatures used in the hypotheses test are pre-computed by running the fault model and the nominal ...
Hai Liu, Maiying Zhong
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Generalized likelihood ratio test for normal mixtures

Statistica Sinica, 2016
Summary: Let \(X_{1},\ldots,X_{n}\) be independent observations with \(X_{i} \sim N(\theta_{i},1)\), where \((\theta_{1},\ldots,\theta_{n})\) is an unknown vector of normal means. Let \(f_{n}(x) = \sum_{i=1}^{n}(d/dx)P_{n}\{X_{i}\leq x\}/n\) be the average marginal density of observations.
Jiang, Wenhua, Zhang, Cun-Hui
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Generalized likelihood ratio tests for complex fMRI data: a Simulation study

IEEE Transactions on Medical Imaging, 2005
Statistical tests developed for the analysis of (intrinsically complex valued) functional magnetic resonance time series, are generally applied to the data's magnitude components. However, during the past five years, new tests were developed that incorporate the complex nature of fMRI data.
Jan Sijbers, Arnold J. den Dekker
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Implications of the Rician distribution for fMRI generalized likelihood ratio tests

Magnetic Resonance Imaging, 2005
In functional magnetic resonance imaging (fMRI), the general linear model test (GLMT) is widely used for brain activation detection. However, the GLMT relies on the assumption that the noise corrupting the data is Gaussian distributed. Because the majority of fMRI studies employ magnitude image reconstructions, which are Rician distributed, this ...
den Dekker, Arnold J., Sijbers, Jan
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Generalized and Differential Likelihood Ratio Tests with Quantum Signal Processing

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Quantum signal processing invokes the injection of abstract quantum mechanical frameworks into classical signal processing problems. In this work we apply this idea to the notion of optimal likelihood ratio tests within the context of the location verification problem.
Shihao Yan, Robert A. Malaney, Jinhong Yuan   +2 more
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On the generalized likelihood ratio test for a class of nonlinear detection problems

IEEE Transactions on Signal Processing, 1993
The authors examine the generalized likelihood ratio test (GLRT) for a certain class of detection problems. This class is characterized by a model which is linear in some parameters and nonlinear in others. They show that the classical asymptotic analysis of the GLRT fails for this class, and demonstrate the existence of ill-behaved cases in this class.
Boaz Porat, Benjamin Friedlander
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Generalized and Average Likelihood Ratio Testing for Post Detection Integration

IEEE Transactions on Communications, 2007
In the context of spread spectrum communications, this paper investigates the use of likelihood ratio testing techniques for the design of post detection integration (PDI) methods for code acquisition in the presence of phase and frequency uncertainty.
CORAZZA, GIOVANNI EMANUELE, PEDONE, RAFFAELLA   +1 more
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Distributed generalized likelihood ratio tests: Fundamental limits and tradeoffs

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
This paper focuses on the problem of distributed composite hypothesis testing in a network of sparsely interconnected agents, in which only a small section of the field modeling parametric alternatives is observable at each agent. A recursive generalized likelihood ratio test (GLRT) type algorithm in a distributed setup of the consensus-plus ...
Anit Kumar Sahu, Soummya Kar
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Comments on: Nonparametric inference with generalized likelihood ratio tests

TEST, 2007
We very much enjoyed reading this stimulating review. Generalized likelihood ratio testing for issues about such basic questions as to whether functions are constant is an appealing idea, and the bootstrap-under-the-null methodology for computing p-values makes these tests simple to implement. The methodology in Sect.
Raymond J. Carroll, Arnab Maity
  +4 more sources