Results 31 to 40 of about 10,895,381 (281)
Modelling and analysis of turbulent datasets using Auto Regressive Moving Average processes [PDF]
We introduce a novel way to extract information from turbulent datasets by applying an Auto Regressive Moving Average (ARMA) statistical analysis. Such analysis goes well beyond the analysis of the mean flow and of the fluctuations and links the behavior of the recorded time series to a discrete version of a stochastic differential equation which is ...
Faranda, Davide +7 more
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This paper describes the identification by the compound digital filter with two estimators involved in the Kalman filter, the first corresponds to stochastic gradient describing the transition function and the second obtains the innovation process gain ...
José de Jesús Medel Juárez +2 more
doaj +1 more source
Rolling element bearing is a critical component in many mechanical systems in view of its critical functionality. One of the major issues industries face today is the failure of bearings, which results in catastrophic consequences.
Yanfei Lu +3 more
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Classification and retrieval of traffic video using auto-regressive stochastic processes [PDF]
We propose to model the traffic flow in a video using a holistic generative model that does not require segmentation or tracking. In particular, we adopt the dynamic texture model, an auto-regressive stochastic process, which encodes the appearance and the underlying motion separately into two probability distributions.
A.B. Chan, N. Vasconcelos
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Identifikasi Pemodelan Matematis Robot Wall Following
This paper describes the process to obtain a mathematical model of a wall following robot. A mathematical modeling is carried out as an effort in determining Proportional, Integral, and Derivative (PID) controller parameters using analytic tuning.
Fahmizal Fahmizal +2 more
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This research aims to help companies to be able to estimate the procurement of materials in property development, control material stocks in warehouses, and determine which suppliers can support to meet these needs with predetermined criteria, namely the
Hasyim Asy'ari +2 more
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Prediction of weakly locally stationary processes by auto-regression
In this contribution we introduce weakly locally stationary time series through the local approximation of the non-stationary covariance structure by a stationary one. This allows us to define autoregression coefficients in a non-stationary context, which, in the particular case of a locally stationary Time Varying Autoregressive (TVAR ...
François Roueff, André Sánchez-Pérez
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Persistence versus stability for auto-regressive processes
34 ...
Dembo, Amir, Ding, Jian, Yan, Jun
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In this paper, we present the results of a study of the variability of the prototype polar AM Her using one of the complementary mathematical methods.
I. L Andronov +9 more
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Innovation and economic growth in European Economic Area countries: The Granger causality approach
The paper examines the long-run relationship between innovation and economic growth in the European Economic Area (EEA) countries for the period 1989–2014.
Rana Pratap Maradana +6 more
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