Results 251 to 260 of about 163,645 (292)

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
openaire   +1 more source

A Method to Detect DOS and DDOS Attacks based on Generalized Likelihood Ratio Test

International Conference on Independent Component Analysis and Signal Separation, 2018
Denial of service (DOS) and distributed DOS (DDOS) continue to be a significant concern in internet and networking systems. This paper targets to develop an anomaly detection mechanism based on the generalized likelihood ratio (GLR) scheme to detect TCP ...
F. Harrou, Benamar Bouyeddou, Ying Sun, B. Kadri   +3 more
semanticscholar   +1 more source

Improving the generalized likelihood ratio test for unknown linear gaussian channels

IEEE Transactions on Information Theory, 2003
Summary: We consider the decoding problem for unknown Gaussian linear channels. Important examples of linear channels are the intersymbol interference (ISI) channel and the diversity channel with multiple transmit and receive antennas employing space-time codes (STC).
Elona Erez, Meir Feder
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A sequential likelihood ratio test for general hypotheses

Communications in Statistics. Part C: Sequential Analysis, 1982
In statistical inference it is often desired to test a specified funcrion of unkown parameters form an underlying distribution. Sequential procedures utilize information from the already collected observations and allow for a possible eariy termination of experimentation with a concurrent savings in time and cost. In the present work a suitable maximum-
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A Reduced-Rank Generalized Likelihood-Ratio Test

1993
A generalized likelihood-ratio test (GLRT) is proposed for adaptively detecting a low rank signal in the presence of unknown strong low rank interference plus white Gaussian noise. This approach leads to a test which is closely related to the Principal Component Inverse (PCI) method of rapidly adaptive detection and extends the PCI method to the case ...
openaire   +1 more source

On the generalized Viterbi algorithm using likelihood ratio testing

Proceedings IEEE International Symposium on Information Theory,, 2003
The variable size list decoder (VLD) was first discussed by Forney (1968), which selects more than one candidate message if the message passes the given criterion. Though the list decoder is seldom used for applications, it is well-known that the generalized Viterbi algorithm (GVA) employs the fixed size list decoder (FLD) in its mean process.
T. Niinomi, T. Matsushima, S. Hirasawa
openaire   +1 more source

Generalized Likelihood Ratio Test Performance for Cooperative Radar-Communications

2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
The performance of generalized likelihood ratio tests (GLRT) in radar detection is a well-studied subject, as is the performance of a maximum-likelihood decoder for a communication (comm.) receiver. The theoretical analysis of a cooperative radar-comm. receiver, however, remains an open problem.
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Generalized Likelihood Ratio Tests and Uniformly Most Powerful Tests

The American Statistician, 1990
Abstract For testing a one-sided hypothesis in a one-parameter family of distributions, it is shown that the generalized likelihood ratio (GLR) test coincides with the uniformly most powerful (UMP) test, assuming certain monotonicity properties for the likelihood function.
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Holographic SAR Tomography 3-D Reconstruction Based on Iterative Adaptive Approach and Generalized Likelihood Ratio Test

IEEE Transactions on Geoscience and Remote Sensing, 2021
Dong Feng, D. An, Leping Chen, Xiaotao Huang   +3 more
semanticscholar   +1 more source

The Rao, Wald, And Likelihood-Ratio Tests under Generalized Self-Concordance

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Three classical approaches to goodness-of-fit testing are Rao’s test, Wald’s test, and the likelihood-ratio test. The asymptotic equivalence of these three tests under the null hypothesis is a famous connection in statistical detection theory. We revisit these three likelihood-related tests from a non-asymptotic viewpoint under self-concordance ...
Lang Liu, Zaïd Harchaoui
openaire   +1 more source