A markovian model of the error probability density for decision feedback equalizer is proposed and its application to the error propagation probability computation is derived. The model is a generalization of the Lütkemeyer and Noll model proposed in [1]. It is obtained by the analysis of the gaussian mixture distribution of the errors which follows a Markov Process. The analysis of this proces...

Bayesian sequence prediction is a simple technique for predicting future symbols sampled from an unknown measure on infinite sequences over a countable alphabet. While strong bounds on the expected cumulative error are known, there are only limited results on the distribution of this error. We prove tight high-probability bounds on the cumulative error, which is measured in terms of the Kullbac...

The paper describes a language-independent approach for semiautomatic extension of lexical-semantic word nets and evaluates the method on CoreNet, the Korean version of word net. In a bootstrapping fashion, the socalled ‘Pendulum Algorithm’ operates on word sets obtained by co-occurrence statistics on a large un-annotated corpus and keeps error propagation low by a verification step. Results ar...

A Kalman filter package has been developed for reconstructing muon (μ) tracks (coming from the neutrino interactions) in ICAL detector. Here, we describe the algorithm of muon track fitting, with emphasis on the error propagation of the elements of Kalman state vector along the muon trajectory through dense materials and inhomogeneous magnetic field. The higher order correction terms are includ...

We show two universal, Boolean, deterministic logic schemes based on binary noise timefunctions that can be realized without time-averaging units. The first scheme is based on a new bipolar random telegraph wave scheme and the second one makes use of the recent noise-based logic which is conjectured to be the brain’s method of logic operations [Physics Letters A 373 (2009) 2338-2342]. Error pro...

In this article, a dynamic localization method based on multi-target tracking is presented. The originality of this method is its capability to manage and propagate uncertainties during the localization process. This multi-level uncertainty propagation stage is based on the use of the Dempster–Shafer theory. The perception system we use is composed of an omnidirectional vision system and a pano...

A quantitative assessment of uncertainties in load, geometrical and material properties by using probabilistic and stochastic analysis is discussed. This allows a rational determination of the propagation of uncertainties through structural systems and ultimately reliability assessment.

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Error propagation is a central problem in grid computing. We re-learned this while adding a Java feature to the Condor computational grid. Our initial experience with the system was negative, due to the large number of new ways in which the system could fail. To reason about this problem, we developed a theory of error propagation. Central to our theory is the concept of an error’s scope, defin...

A new approach for vanishing point detection is described. This method is based on the theorem of Thales. The main contribution of this paper is the automatic and simultaneous detection of all vanishing points of the image that consists in detecting circles in a complex cloud of points. This extraction is performed without any prior knowledge of the internal calibration. An analysis of the erro...