## Search

Now showing items 1-20 of 36

#### Software to assess the utility of autofluorescence-based pulmonary optical endomicroscopy to predict the malignant potential of solitary pulmonary nodules in humans

Solitary pulmonary nodules are common, often incidental findings on chest CT scans. The investigation of pulmonary nodules is time-consuming and often leads to protracted follow-up with ongoing radiological surveillance, ...

#### HypFun

(University of Edinburgh. School of Mathematics, 2014-07-29)

MATLAB code for computing the confluent and Gauss hypergeometric functions using a range of numerical methods.

#### 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 ...

#### 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.

#### 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 ...

#### 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 ...

#### 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 ...

#### 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). ...

#### Symmetry operators Mathematica notebook

(2014-04-17)

This is a collection of files intended for verification of the results in the paper
Andersson, L, Bäckdahl, T, Blue, P, "Second order symmetry operators", (2014) arXiv:1402.6252 [gr-qc]
to appear in Class. Quantum Grav.

#### Code for Factorial Switching Linear Dynamical System (FSLDS) Monitoring of Intensive Care Unit Data

The submission contains: (1) realtime - C++ code for performing Factoral Switching Linear Dynamical System (FSLDS) inference in real time on CSV input files; (2) matlab - Matlab code used for offline parameter estimation ...

#### 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 ...

#### 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. ...

#### 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 ...

#### 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 ...

#### 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 ...

#### 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 ...