نتایج جستجو برای: multiple time scale method

تعداد نتایج: 4097713  

Journal: :Brain : a journal of neurology 1999
G R Cutter M L Baier R A Rudick D L Cookfair J S Fischer J Petkau K Syndulko B G Weinshenker J P Antel C Confavreux G W Ellison F Lublin A E Miller S M Rao S Reingold A Thompson E Willoughby

The primary clinical outcome measure for evaluating multiple sclerosis in clinical trials has been Kurtzke's expanded disability status scale (EDSS). New therapies appear to favourably impact the course of multiple sclerosis and render continued use of placebo control groups more difficult. Consequently, future trials are likely to compare active treatment groups which will most probably requir...

Journal: :Signal, Image and Video Processing 2009
Vittoria Bruni Benedetto Piccoli Domenico Vitulano

This paper presents a novel and fast scheme for signal denoising in the wavelet domain. It exploits the time scale structure of the wavelet coefficients by modeling them as superposition of simple atoms, whose spreading in the time scale plane formally is the solution of a couple of differential equations. In this paper, we will show how the numerical solution of such equations can be avoided l...

2001
Graeme Henkelman

We have carried out long time scale simulations where the \dimer method" [G. Henkelman and H. J onsson, J. Chem. Phys. 111, 7010 (1999)] is used to nd the mechanism and estimate the rate of transitions within harmonic transition state theory and time is evolved by using the kinetic Monte Carlo method. Unlike traditional applications of kinetic Monte Carlo, the atoms are not assigned to lattice ...

1996
Metin Bayram Richard Baraniuk

We overview a new non-parametric method for estimating the time-varying spectrum of a non-stationary random process. Our method extends Thomson’s powerful multiple window spectrum estimation scheme to the time-frequency and time-scale planes. Unlike previous extensions of Thomson’s method, we identify and utilize optimally concentrated Hermite window and Morse wavelet functions and develop a st...

To prevent an exploit, the security analyst must implement a suitable countermeasure. In this paper, we consider cost-sensitive attack graphs (CAGs) for network vulnerability analysis. In these attack graphs, a weight is assigned to each countermeasure to represent the cost of its implementation. There may be multiple countermeasures with different weights for preventing a single exploit. Also,...

Journal: :Vojnosanitetski pregled 2009
Slobodan M Janković Marina Kostić Marija Radosavljević Danka Tesić Natasa Stefanović-Stoimenov Ivan Stevanović Sladana Raković Jelena Aleksić Marko Folić Aleksandra Aleksić Ivana Mihajlović Nenad Biorac Jelena Borlja Radosava Vucković

BACKGROUND/AIM A cost-effectiveness analyses of immunomodulatory treatments for relapsing-remitting multiple sclerosis (RRMS) in developed countries have shown that any benefit from these drugs is achieved at very high cost. The aim of our study was to compare the cost-effectiveness of five treatment strategies in patients diagnosed with RRMS (symptom management alone and in combination with su...

2006
Jingsong He Xin Yao Jian Tang

This paper presents a novel method for predictive lossless image compression via evolving a set of switches, which can be implemented easily by intrinsic evolvable hardware mode. A set of compounded mutations for binary chromosome through combining the local asexually reproducing with multiple mean step size search was proposed, and a gradually approach method for evolving larger scale images w...

Journal: :Computers in cardiology 2002
M Costa A L Goldberger C-K Peng

We address the challenge of distinguishing physiologic interbeat interval time series from those generated by synthetic algorithms via a newly developed multiscale entropy method. Traditional measures of time series complexity only quantify the degree of regularity on a single time scale. However, many physiologic variables, such as heart rate, fluctuate in a very complex manner and present cor...

Journal: :International Journal of Signal Processing, Image Processing and Pattern Recognition 2017

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