For sequential jumps detection, isolation and estimation in discrete-time stochastic linear systems, Willsky and Jones (1976) have developed the Generalized Likelihood Ratio (GLR) test. For the treatment of sequential jumps, the jump-free Kalman filter is updated on-line after each detection of one jump by a direct state estimate and covariance incrementation using the informations produced by ...

We describe and experimentally evaluate a system, FeasPar, that learns parsing spontaneous speech. To train and run FeasPar (Feature Structure Parser), only limited handmodeled knowledge is required. The FeasPar architecture consists of neural networks and a search. The networks spilt the incoming sentence into chunks, which are labeled with feature values and chunk relations. Then, the search ...

The problem of detecting an anomaly/target from a very limited number of noisy tomographic projections is addressed from the statistical point of view. The imaged object is composed of an environment, considered as a nuisance parameter, with a possibly hidden anomaly/target. The GLR test is used to solve the problem. When the projection linearly depends on the nuisance parameters, the GLR test ...

in the Proceedings of the World Aquaculture Society Conference. Page 1142. February 22-25, 2013. Nashville. Yellow perch Perca flavescens is a particularly important aquacultural and ecological species in the Great Lakes Region (GLR)and the Midwest USA. The demand for this species has remained very high in the GLR. Due to the relatively slow growth of currently cultured populations of yellow pe...

In this paper, two suboptimum detectors are proposed for coherent radar signal detection in K-distributed clutter. Assuming certain values for several initial moments of clutter amplitude, the characteristic function of the clutter amplitude is approximated by a limited series. Using the Pade approximation, it is then converted to a rational fraction. Thus, the pdf of the clutter amplitude is o...

In this paper, we propose a method for constructing bigram LR tables by way of incorporating bigram constraints into an LR table. Using a bigram LR table, it is possible for a GLR parser to make use of both bigram and CFG constraints in natural language processing. Applying bigram LR tables to our GLR method has the following advantages: (1) Language models utilizing bigram LR tables have lower...

In this paper, we propose a method for constructing bigram LR tables by way of incorporating bigram constraints into an LR table. Using a bigram LR table, it is possible for a GLR parser to make use of both bigram and CFG constraints in natural language processing. Applying bigram LR tables to our GLR method has the following advantages: (1) Language models utilizing bigram LR tables have lower...

The neurotransmitter glutamate mediates excitatory synaptic transmission by gating ionotropic glutamate receptors (iGluRs). AMPA receptors (AMPARs), a subtype of iGluR, are strongly implicated in synaptic plasticity, learning, and memory. We previously discovered two classes of AMPAR auxiliary proteins in C. elegans that modify receptor kinetics and thus change synaptic transmission. Here, we h...

This paper presents an extended GLR parsing algorithm with grammar PCFG* that is based on Tomita’s GLR parsing algorithm and extends it further. We also define a new grammar—PCFG* that is based on PCFG and assigns not only probability but also frequency associated with each rule. So our syntactic parsing system is implemented based on rule-based approach and statistics approach. Furthermore our...

The generalized likelihood ratio (GLR) statistic (Fan, Zhang, and Zhang (2001)) offered a generally applicable method for testing nonparametric hypotheses about nonparametric functions, but its efficiency is adversely affected by outlying observations and heavy-tailed distributions. Here a robust testing procedure is developed under the framework of the GLR by incorporating a Wilcoxon-type arti...