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Now showing items 1-20 of 44

#### Matlab codes for "Improved Multiscale Permutation Entropy for Biomedical Signal Analysis: Interpretation and Application to Electroencephalogram Recordings"

Permutation entropy (PE) is a well-known and fast method extensively used in many physiological signal processing applications to measure the irregularity of time series. Multiscale PE (MPE) is based on assessing the PE ...

#### The Complex Hierarchical Topology of EEG Functional Connectivity

Understanding the complex hierarchical topology of functional brain networks is a key aspect of functional connectivity research. Such topics are obscured by the widespread use of sparse binary network models which are ...

#### Fast methods for training Gaussian processes

This submission includes a simplified version of some code we have been developing for fast training of Gaussian processes. We also include a sample data set, which is NOAA tidal data from Woods Hole in the US, downloaded ...

#### Path-ZVA Implementation

This Java project is an implementation of the algorithm presented in the paper 'Path-ZVA: general, efficient and automated importance sampling for highly reliable Markovian systems' by Daniël Reijsbergen, Pieter-Tjerk de ...

#### Word learning under infinite uncertainty - Simulation codes and sample output

These are codes to simulate the three models of word learning described in the paper "Word Learning Under Infinite Uncertainty" by R A Blythe, A D M Smith and K Smith, to appear in Cognition. These codes can be used to ...

#### Fast Orthonormal Sparsifying Transforms Based on Householder Reflectors

This data relates to research involving the development of a framework for learning orthonormal dictionaries, which are built from products of a few Householder reflectors.

#### Learning Fast Sparsifying Transforms

Given a dataset, the task of learning a transform that allows sparse representations of the data bears the name of dictionary learning. In many applications, these learned dictionaries represent the data much better than ...

#### Wave packet dynamics in the optimal superadiabatic approximation - Matlab code

Matlab code for computation of transitions through avoided crossings using superadiabatic representations.
See e.g. Wave packet dynamics in the optimal superadiabatic approximation
V. Betz, B. D. Goddard, and U. ...

#### Software and data for endoscopic sensing of alveolar pH

Previously unobtainable measurements of alveolar pH were obtained using an endoscope-deployable optrode. The pH sensing was achieved using functionalized gold nanoshell sensors and surface enhanced Raman spectroscopy (SERS). ...

#### 2DChebClass

We present a Matlab implementation of a novel, efficient pseudo-spectral collocation scheme for the solution of stiff, non-local, non-linear PDEs in one and two spatial dimensions. In particular, we compute the non-local ...

#### Scattering of inertial waves by random flows

This dataset contains a matlab code that simulates the Young and Ben Jelloul equation for inertial waves propagating in a 2D flow. Also attached is a program to generate a 2D gaussian random flow, and a routine to calculate ...

#### Matlab codes for "Amplitude-aware Permutation Entropy: Illustration in Spike Detection and Signal Segmentation"

## Background and Objective: ##
Signal segmentation and spike detection are two important biomedical signal processing applications. Often, non-stationary signals must be segmented into piece-wise stationary epochs or ...

#### Dispersion in networks

Ensemble of Matlab routines to calculate the time evolution of a scalar in a network following the advection-diffusion equation.
The particular case of dispersion in the Manhattan road grid is included.
Please refer to ...

#### Matlab codes for "Refined Composite Multivariate Generalized Multiscale Fuzzy Entropy: A Tool for Complexity Analysis of Multichannel Signals"

Multiscale entropy (MSE) is an appealing tool to characterize the complexity of time series over multiple temporal scales. Recent developments in the field have tried to extend the MSE technique in different ways. Building ...

#### Matlab codes for "Refined Multiscale Fuzzy Entropy based on Standard Deviation for Biomedical Signal Analysis"

Multiscale entropy (MSE) has been a prevalent algorithm to quantify the complexity of fluctuations in the local mean value of biomedical time series. Recent developments in the field have tried to improve the MSE by reducing ...

#### simpops.mac: population time series simulation script from "The effects of environmental perturbation and measurement error on estimates of the shape parameter in the theta-logistic model of population regulation"

The simpops.mac script simulates population time series for investigation of the effects of underlying parameters, environmental perturbation, measurement error and time series length on the estimation of theta in the ...

#### Analysis Software for Model Checking Edinburgh Buses

This software is supplementary material for the paper 'An automated methodology for analysing urban transportation systems using model checking' by Daniël Reijsbergen and Stephen Gilmore. It was used to construct the figures ...

#### Source codes of the network simulator for centralized random backoff in Wi-Fi networks

This data set contains the source codes for the simulations presented in the paper: J. Kim, D. Laurenson, and J. Thompson, "Centralized Random Backoff for Collision Resolution in Wi-Fi Networks," IEEE Transactions on ...

#### Accounting for the Complex Hierarchical Topology of EEG Functional Connectivity in Network Binarisation

Herein are the network adjacency matrices, scripts and MATLAB functions used to provide the results in "Accounting for the complex hierarchical topology of EEG functional connectivity in network binarisation". Research ...

#### Monte Carlo simulation of and active interface with diffusing activators

C source code for a Monte Carlo simulation of a system of particles diffusing onto a fluctuating interface. This code has been developed in the context of my PhD project and it simulates a stochastic process I built to ...