Results 11 to 20 of about 1,540,986 (287)
We are interested in the following question: given n numbers x[subscript 1], ..., x[subscript n], what sorts of approximation of average x[subscript ave] = 1overn (x[subscript 1] + ... + x[subscript n]) can be achieved by knowing only r of these n numbers. Indeed the answer depends on the variation in these n numbers.
Bodas, Shreeshankar, Shah, Devavrat
openaire +3 more sources
Krylov–Bogolyubov averaging [PDF]
Abstract A modified approach to the classical Krylov– Bogolyubov averaging method is presented. It was developed recently for studying partial differential equations, enables one to treat Lipschitz perturbations of linear systems with purely imaginary spectrum, and may be generalized to the case of systems of PDEs with small non ...
Jian, Wenwen, Kuksin, Sergei, Wu, Yuan
openaire +4 more sources
Implementation of real-time digital filter for the R wave detection
Quantification of the instantaneous heart rate is based on the detection of the R wave of the electrocardiographic signal. This process requires the implementation of strategies for real-time filtering for the time of occurrence of each R wave.
Javier E. González-Barajas +2 more
doaj +1 more source
Standard tomographic analyses ignore model uncertainty. It is assumed that a given model generated the data and the task is to estimate the quantum state, or a subset of parameters within that model.
Ferrie, Christopher
core +1 more source
A review of numerical asymptotic averaging for weakly nonlinear hyperbolic waves
We present an overview of averaging method for solving weakly nonlinear hyperbolic systems. An asymptotic solution is constructed, which is uniformly valid in the “large” domain of variables t + |x| ∼ O(ϵ –1).
A. Krylovas, R. Čiegis
doaj +1 more source
Dyslexic individuals have been reported to have reduced global motion sensitivity, which could be attributed to various causes including atypical magnocellular or dorsal stream function, impaired spatial integration, increased internal noise and/or ...
Catherine Manning +3 more
doaj +1 more source
Scale Invariance and Self-averaging in disordered systems [PDF]
In a previous paper we found that in the random field Ising model at zero temperature in three dimensions the correlation length is not self-averaging near the critical point and that the violation of self-averaging is maximal.
Dotsenko Vik. +6 more
core +6 more sources
This work investigates the application of zero-frequency resonator (ZFR) for detecting systolic peaks of photoplethysmogram (PPG) signals. Based on the authors’ studies, they propose an automated noise-robust method, which consists of the central ...
Simhadri Vadrevu +1 more
doaj +1 more source
Learning by mirror averaging [PDF]
Given a finite collection of estimators or classifiers, we study the problem of model selection type aggregation, that is, we construct a new estimator or classifier, called aggregate, which is nearly as good as the best among them with respect to a ...
Juditsky, A. +2 more
core +10 more sources
Average correlations vs. correlated averages [PDF]
When repeated-measures data are collected with small or even moderate sample sizes, correlation matrices show considerable variability. If one’s primary interest is in the correlations, some means of smoothing the coefficients may be desirable. Two methods of smoothing Pearson rs were investigated in the present study.
William P. Dunlap +2 more
openaire +1 more source

