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Nonparametric inference with generalized likelihood ratio tests
TEST, 2007 The advance of technology facilitates the collection of statistical data. Flexible and refined statistical models are widely sought in a large array of statistical problems. The question arises frequently whether or not a family of parametric or nonparametric models fit adequately the given data.
Jianqing Fan, Jiancheng Jiang
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An Invariance property of the generalized likelihood ratio test
IEEE Signal Processing Letters, 2003The generalized likelihood ratio test (GLRT) is invariant with respect to transformations for which the hypothesis testing problem itself is invariant. This result from the statistics literature is presented in the context of some simple signal models.
Kay, Steven M., Gabriel, Joseph R.
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A generalized likelihood ratio test for SAR CCD
2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012Coherent change detection (CCD) is a powerful technique for detecting minute disturbances in synthetic aperture radar (SAR) imagery. Coherent change detection uses a test statistic to compare, pixel by pixel, two or more SAR images of the same scene. Coherent change detection can detect very small disturbances, not normally visible in SAR or optical ...
Michael Newey +2 more
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Generalized Likelihood Ratio Test for Voltage Dip Detection
IEEE Transactions on Instrumentation and Measurement, 2010An alternative detection algorithm, based on the generalized likelihood ratio test (GLRT), is proposed for the detection of voltage dips in power systems. The proposed method is compared to the classical approaches based on the voltage root mean square.
Antonio Moschitta +2 more
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Generalized likelihood ratio tests for complex fMRI data
SPIE Proceedings, 2004Functional magnetic resonance imaging (fMRI) intends to detect significant neural activity by means of statistical data processing. Commonly used statistical tests include the Student-t test, analysis of variance, and the generalized linear model test. A key assumption underlying these methods is that the data are Gaussian distributed.
Sijbers, J. (author) +1 more
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A full generalized likelihood ratio test for source detection
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012This work presents a novel full generalized likelihood ratio test (GLRT) for signal detection in a sensor array environment. The multiple hypothesis test approach is well known to have excellent detection performance among several popular methods. Existing multiple test procedures consider the relation between two adjacent models.
Pei-Jung Chung, Kon Max Wong
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A generalized likelihood ratio test for impropriety of complex signals
IEEE Signal Processing Letters, 2006A 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 propriety is preserved by linear transformations.
Peter J. Schreier +2 more
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Generalized likelihood ratios for quantitative diagnostic test scores
The American Journal of Emergency Medicine, 1997The reduction of quantitative diagnostic test scores to the dichotomous case is a wasteful and unnecessary simplification in the era of high-speed computing. Physicians could make better use of the information embedded in quantitative test results if modern generalized curve estimation techniques were applied to the likelihood functions of Bayes ...
D, Tandberg, J J, Deely, A J, O'Malley
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Iterative Generalized-Likelihood Ratio Test for MIMO Radar
IEEE Transactions on Signal Processing, 2007We consider a multiple-input multiple-output (MIMO) radar system where both the transmitter and receiver have multiple well-separated subarrays with each subarray containing closely spaced antennas. Because of this general antenna configuration, both the coherent processing gain and the spatial diversity gain can be simultaneously achieved.
Luzhou Xu, Jian Li 0001
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Adaptive selection method for generalized likelihood ratio test
IEEE Transactions on Aerospace and Electronic Systems, 2015The generalized likelihood ratio test (GLRT) for spatial diversity detection is widely used in target detection problems in multiple input, multiple output (MIMO) radar systems. GLRT is derived using the probability density function (pdf) of the noise signal in a homogeneous noise environment.
Minjae Park 0002, Hwang Soo Lee
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