نتایج جستجو برای: noise and uncertainty

تعداد نتایج: 16866255  

Mandana Yousefi Sara RaoufKhorasani

This study tried to examine EFL translators’ uncertainty and uncertainty management strategies through employing think aloud procedures. The participants of this study were some MA andBA translators selected from several universities in Iran. To this aim, a proficiency test was firstly administered among the volunteers. Then, think aloud protocol and retrospective interview were used to collect...

1997
Peter Sturm

This paper deals with the ego-motion estimation (motion of the camera) from two views. When we want to estimate the ego-motion we have to nd correspondences and we need a calibrated camera. In this paper we solve the problem how to propagate known camera calibration errors into the uncertainty of the motion parameters. We present a linear estimate of the uncertainty of the motion parameters bas...

2017
Ndriana Rakotovao Ravahatra Frédéric Duprat Franck Schoefs Thomas de Larrard Emilio Bastidas-Arteaga

Citation: Ravahatra NR, Duprat F, Schoefs F, de Larrard T and Bastidas-Arteaga E (2017) Assessing the Capability of Analytical Carbonation Models to Propagate Uncertainties and Spatial Variability of Reinforced Concrete Structures. Front. Built Environ. 3:1. doi: 10.3389/fbuil.2017.00001 Assessing the Capability of Analytical Carbonation Models to Propagate Uncertainties and Spatial Variability...

2001
VALERY A. UGRINOVSKII

This paper considers a robust H¥ state feedback control problem for linear uncertain systems with stochastic uncertainty. The uncertainty class considered in the paper involves uncertain multiplicative white noise perturbations which satisfy a certain variance constraint. A state feedback controller is presented which guarantees a prescribed level of disturbance attenuation for all admissible s...

1998
Zhidong Bai Jack W. Silverstein

We consider a class of matrices of the form Cn = (1/N)(Rn+σXn)(Rn+σXn) ∗, where Xn is an n × N matrix consisting of independent standardized complex entries, Rj is an n×N nonrandom matrix, and σ > 0. Among several applications, Cn can be viewed as a sample correlation matrix, where information is contained in (1/N)RnR ∗ n, but each column of Rn is contaminated by noise. As n → ∞, if n/N → c > 0...

Journal: :Journal of vision 2009
Preeti Verghese

A contour formed of aligned Gabor patches is easily detected amidst a dense background of randomly oriented patches; the longer the string of aligned patches, the more easily the contour is detected (D. J. Field, A. Hayes, & R. F. Hess, 1993). Here we show that a short string of collinear elements acts as a cue pointing to other patches of similar orientation that lie along the path defined by ...

2009
Daewon Lee H. Jin Kim Shankar Sastry

This paper presents two types of nonlinear controllers for an autonomous quadrotor helicopter. One type, a feedback linearization controller involves high-order derivative terms and turns out to be quite sensitive to sensor noise as well as modeling uncertainty. The second type involves a new approach to an adaptive sliding mode controller using input augmentation in order to account for the un...

Journal: :IEEE Trans. Automat. Contr. 2000
Ian R. Petersen Matthew R. James Paul Dupuis

This paper considers a new class of discrete time stochastic uncertain systems in which the uncertainty is described by a constraint on the relative entropy between a nominal noise distribution and the perturbed noise distribution. This uncertainty description is a natural extension to the case of stochastic uncertain systems, of the sum quadratic constraint uncertainty description. The paper s...

Seismic waves are non-stationary due to its propagation through the earth. Time-frequency transforms are suitable tools for analyzing non-stationary seismic signals. Spectral decomposition can reveal the non-stationary characteristics which cannot be easily observed in the time or frequency representation alone. Various types of spectral decomposition methods have been introduced by some resear...

2004
Mario Sznaier

This paper deals with the problem of model (in)validation of discrete-time, causal, LTI stable models subject to Slowly Linear Time Varying structured uncertainly, using freqnency-domain data corrupted by additive noise. It is nell known that in the case of structured LTI uncertainty the problem is NP hard in the number of uncertainty blocks. The main contribution of this paper shows that, on t...

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