Thorax

Performance of multivariable risk prediction algorithms in predicting COPD exacerbations: a population-based study

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
IEEE

GPU-Accelerated Multivariate Empirical Mode Decomposition for Massive Neural Data Processing

Abstract: This paper presents an efficient implementation of multivariate empirical mode decomposition (MEMD) algorithm, a multivariate extension of EMD algorithm. Analogous to EMD, MEMD decomposes a ...
GitHub

EntropyHub: An open-source toolkit for entropic data analysis

WindowData() is a new function that allows users to segment data (univariate or multivariate time series) into windows with/without overlapping samples! This allows users to calculate entropy on ...
Frontiers

Degradation and life prediction of mechanical equipment based on multivariate stochastic process

Accurately predicting the remaining mechanical equipment is of great significance for ensuring the safe operation of the equipment and improving economic efficiency. To accurately assess the ...
PNAS

Divisive normalization is an efficient code for multivariate Pareto-distributed environments

Divisive normalization is a ubiquitous computation commonly thought to be an implementation of the efficient coding principle. Despite empirical evidence that it reduces statistical redundancy present ...
GitHub

Quasi-Monte-Carlo numerical computation of multivariate normal probabilities.

This function uses an algorithm given in the paper "Numerical Computation of Multivariate Normal Probabilities", in J. of Computational and Graphical Stat., 1(1992), pp. 141-149, by Alan Genz, WSU ...
IEEE

A MATLAB toolbox for multivariable linear fractional-order control systems

Abstract: In this paper, an extended version of the FOTF Toolbox is presented which can be used to handle multivariable fractional-order transfer function matrices. A good interface is provided on top ...