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The Geometry of Generalized Likelihood Ratio Test [PDF]

open access: yesEntropy, 2022
The generalized likelihood ratio test (GLRT) for composite hypothesis testing problems is studied from a geometric perspective. An information-geometrical interpretation of the GLRT is proposed based on the geometry of curved exponential families.
Yongqiang Cheng   +2 more
doaj   +4 more sources

Segmentation Method for Ship-Radiated Noise Using the Generalized Likelihood Ratio Test on an Ordinal Pattern Distribution [PDF]

open access: yesEntropy, 2020
Due to the diversity of ship-radiated noise (SRN), audio segmentation is an essential procedure in the ship statuses/categories identification. However, the existing segmentation methods are not suitable for the SRN because of the lack of prior knowledge.
Lei He   +3 more
doaj   +2 more sources

A generalized likelihood ratio test for monitoring profile data. [PDF]

open access: yesJ Appl Stat, 2021
Profile data emerges when the quality of a product or process is characterized by a functional relationship among (input and output) variables. In this paper, we focus on the case where each profile has one response variable Y, one explanatory variable x, and the functional relationship between these two variables can be rather arbitrary.
Liu Y, Zhu J, Lin DKJ.
europepmc   +3 more sources

Cancelable ECG Biometrics Using Compressive Sensing-Generalized Likelihood Ratio Test [PDF]

open access: yesIEEE Access, 2019
Electrocardiogram (ECG) has been investigated as promising biometrics, but it cannot be canceled and re-used once compromised just like other biometrics.
Hanvit Kim, Se Young Chun
doaj   +3 more sources

When Is The Generalized Likelihood Ratio Test Optimal? [PDF]

open access: yesProceedings. 1991 IEEE International Symposium on Information Theory, 1992
Summary: The generalized likelihood ratio test (GLRT), which is commonly used in composite hypothesis testing problems, is investigated. Conditions for asymptotic optimality of the GLRT in the Neyman-Pearson sense are studied and discussed. First, a general necessary and sufficient condition is established, and then based on this, a sufficient ...
Ofer Zeitouni, Jacob Ziv, Neri Merhav
openaire   +1 more source

Population status, habitat occupancy and conservation threats to Mugger crocodile (Crocodylus palustris) in Ghodaghodi lake complex, Nepal

open access: yesGlobal Ecology and Conservation, 2022
Mugger crocodile is a keystone species of slow flowing fresh water ecosystem. Few studies regarding status and distribution of Vulnerable Mugger have been conducted in Nepal. However, studies on ecology and other aspects of the species are limited.
Saurav Lamichhane   +6 more
doaj   +1 more source

Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing

open access: yesIEEE Transactions on Signal Processing, 2022
Machine learning models are known to be susceptible to adversarial attacks which can cause misclassification by introducing small but well designed perturbations. In this paper, we consider a classical hypothesis testing problem in order to develop fundamental insight into defending against such adversarial perturbations.
Bhagyashree Puranik   +2 more
openaire   +2 more sources

Modified Generalized Likelihood Ratio Test Detection Based on a Symmetrically Spaced Linear Array in Partially Homogeneous Environments

open access: yesLeida xuebao, 2021
To address the problem of detecting point-like targets in a partially homogeneous Gaussian cluttered environment, we developed a modified Generalized Likelihood Ratio Test (GLRT) detection method based on a symmetrically spaced linear array that relies ...
Linjie YAN   +4 more
doaj   +1 more source

Evaluating the Goodness of Fit of Generalized Nakagami Distribution

open access: yesCumhuriyet Science Journal, 2023
The Generalized Nakagami distribution is a popular distribution in wireless communication. This distribution includes the Nakagami distribution as a special case.
Deniz Özonur
doaj   +1 more source

Distributed Target Detection in Unknown Interference

open access: yesSensors, 2022
Interference can degrade the detection performance of a radar system. To overcome the difficulty of target detection in unknown interference, in this paper we model the interference belonging to a subspace orthogonal to the signal subspace.
Kaiming Xu, Yunkai Deng, Zhongjun Yu
doaj   +1 more source

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