نتایج جستجو برای: convergence in mean square

تعداد نتایج: 17035539  

Journal: :Proceedings of the American Mathematical Society 1972

2018
Guoxing Liang Siegfried Schmauder Ming Lyu Yanling Schneider Cheng Zhang Yang Han

Friction and wear tests were performed on AISI 1045 steel specimens with different initial roughness parameters, machined by a creep-feed dry grinding process, to study the friction and wear behavior on a pin-on-disc tester in dry sliding conditions. Average surface roughness (Ra), root mean square (Rq), skewness (Rsk) and kurtosis (Rku) were involved in order to analyse the influence of the fr...

Journal: :Gait & posture 2005
Sandra M S F Freitas Silvana A Wieczorek Paulo H Marchetti Marcos Duarte

The aim of this study was to characterize prolonged standing and its effect on postural control in elderly individuals in comparison to adults. It is unknown how elderly individuals behave during prolonged standing and how demanding such a task is for them. We recorded the center of pressure (COP) position of 14 elderly subjects and 14 adults while they performed prolonged standing (30 min) and...

2010
Luca Giacomelli Giacomo Derchi Andrea Frustaci Orlando Bruno Ugo Covani Antonio Barone Daniele De Santis Francesco Chiappelli

BACKGROUND AND AIMS Polishing may increase the surface roughness of composites, with a possible effect on bacterial growth and material properties. This preliminary in vitro study evaluates the effect of three different polishing systems (PoGo polishers, Enhance, Venus Supra) on six direct resin composites (Gradia Direct, Venus, Venus Diamond, Enamel Plus HFO, Tetric Evoceram, Filtek Supreme XT...

2014
L. Villafuerte Eugenia N. Petropoulou

In this paper the random Differential Transform Method (DTM) is used to solve a time-dependent random linear differential equation. The mean square convergence of the random DTM is proven. Approximations to the mean and standard deviation functions of the solution stochastic process are shown in several illustrative examples. AMS Subject Classifications: 65L20, 60G15, 39A10.

2006
Tony Cai

There has been substantial recent work on methods for estimating the slope function in linear regression for functional data analysis. However, as in the case of more conventional finite-dimensional regression, much of the practical interest in the slope centers on its application for the purpose of prediction, rather than on its significance in its own right. We show that the problems of slope...

2009
Matthias Röger LUCA MUGNAI MATTHIAS RÖGER

We study perturbations of the Allen–Cahn equation and prove the convergence to forced mean curvature flow in the sharp interface limit. We allow for perturbations that are square-integrable with respect to the diffuse surface area measure. We give a suitable generalized formulation for forced mean curvature flow and apply previous results for the Allen–Cahn action functional. Finally we discuss...

1980
Michael L. Honig David G. Messerschmitt

Ahstpact-Convergence properties of a continuously adaptive digital lattice filter. used as a linear predictor are investigated for both an unnormalized and a normalized gradient adaptation algorithm. The PARCOR coefficient mean values and the output mean-square error (MSE) are approximated and a simple model is described which approximates these quantities as functions of time. Calculated curve...

2010
Wang Junfeng Zhang Bo

Adaptive equalizer is important in transmission of wireless communication. The equalizer using least mean square (LMS) algorithm is adopted. Simulation results show that step size influences the algorithm convergence and stability, which will significantly affect the performance of adaptive equalizer. The requirement of step for convergence speed, time-varying tracking accuracy and convergence ...

Journal: :IEEE Signal Processing Letters 2021

Convergence of the diffusion RLS (DRLS) algorithm to steady-state has been extensively studied in literature, whereas no analysis its transient convergence behavior reported yet. In this letter, we conduct a theoretical DRLS for cyclostationary colored inputs, mean and mean-square error sense. The resulting analytical models allows us thoroughly investigate over adaptive networks such complex s...

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