Open Source MATLAB Scientific/Engineering Software - Page 7

A collection of scripts and functions for the analysis of atom probe tomography data. Currently, this includes: standard file operations, plotting mass spectra, mass spectra analysis and mass peak overlap solving. For more information see the Wiki: https://sourceforge.net/p/atomprobelab/wiki/Home/ Quick overview video: https://youtu.be/8rJHce7M5UU More in-depth video using the APT school demos live script: https://www.youtube.com/watch?v=cyrLHCzZwuw For details of the maximum likelihood method used to solve peak overlaps see the following papers: https://doi.org/10.1017/S1431927616012782 and https://doi.org/10.1017/S1431927618016276 for the quantification of the uncertainty. If you are looking for Dan Haley's "weights" program, go here https://sourceforge.net/projects/apttools/files/extras/

Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/

A C++ library for the computation of bifurcation diagrams: it provides tools for the integration of systems of ODEs that depend on parameters. A Python interface is included.

Cell Motility Analysis Package analyzes timelapse sequences of moving cells. Various quantitites characterizing motility are calculated, including normal velocity of the membrane, cell contact area, and spatio-temporal auto-correlation functions.

Ctrax is now hosted on Sourceforge (http://sourceforge.net/projects/ctrax). This Berlios site will no longer be maintained.

DICOV (Dicom COnVerter) is a MATLAB-based tool for converting Dicom files into Analyze format with SPM orientation. Also, it supports simple Dicom viewer. As it utilizes some functions in SPM8, SPM8 should be installed and its path should be included to MATLAB path. A 64bit environment with more than 8GB RAM is required for DICOV (MAC OSX is recommended.). Dicom is unified medical image format, but there're some variability across the imaging systems. DICOV is optimized for the Dicom files generated by GE PACS system.

This site provides the source code of two approaches for density-ratio based clustering, used for discovering clusters with varying densities. One approach is to modify a density-based clustering algorithm to do density-ratio based clustering by using its density estimator to compute density-ratio. The other approach involves rescaling the given dataset only. An existing density-based clustering algorithm, which is applied to the rescaled dataset, can find all clusters with varying densities that would otherwise impossible had the same algorithm been applied to the unscaled dataset. Reference: Zhu, Y., Ting, K. M., & Carman, M. J. (2016). Density-ratio based clustering for discovering clusters with varying densities. Pattern Recognition. http://www.sciencedirect.com/science/article/pii/S0031320316301571

The proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length FingerCode. The fingerprint matching is based on the Euclidean distance between the two corresponding FingerCodes and hence is extremely fast. We are able to achieve a verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms published in the open literature. Our system performs better than a state-of-the-art minutiae-based system when the performance requirement of the application system does not demand a very low false acceptance rate. Finally, we show that the matching performance can be improved by combining the decisions of the matchers based on complementary (minutiae-based and filter-based) fingerprint information. Index Terms: Biometrics, FingerCode, fingerprints, flow pattern, Gabor filters, matching, texture, verification.

The Free Finite Element Package is a library which contains numerical methods required when working with finite elements. The goal of FFEP is to provide basic functions for approximating the solution of elliptic and parabolic PDEs in 2D. Until 2016 FFEP was developed using C. Science 2016 the language was switched to GNU Octave with some C Mex-Functions. Mesh generation or import is not part of FFEP. We recommend the use of Gmsh.

A toolbox for quantitative morphometric analysis of early development in spherical embryos, such as Xenopus laevis (African Clawed Frog). The toolbox is developed for Matlab 6.5 and higher and combines C-Mex code with Matlab functions.

GFtbox is a Matlab package for simulating biological growth of leaves, petals, and similar organs.

KLT-IV v1.0 has been designed to offer a user-friendly graphical user interface for the determination of river flow velocity and river discharge using videos acquired using a variety of fixed and moving platforms. KLT-IV employs optical flow and computer vision techniques for the tracking of features present on the river surface with pixel displacements being converted to real-world velocities using an optimised camera model approach. Movement of the platform can be accounted for when ground control points and/or stable features are present, or where the platform is equipped with GPS and IMU sensors. Please direct queries or comments to: https://groups.google.com/forum/#!forum/klt-iv-image-velocimetry-software

This library contains the parametrization of pp->gamma cross section functions based on Phys.Rev. D90 (2014) 12, 123014 (astro-ph/1406.7369) work. The functions are written in Python, Fortran and Matlab. Please, if you use this library DO NOT reference to this webpage, instead reference to Phys.Rev. D90 (2014) 12, 123014 (astro-ph/1406.7369), "Parametrization of gamma-ray production cross-sections for pp interactions in a broad proton energy range from the kinematic threshold to PeV energies" by Ervin Kafexhiu, Felix Aharonian, Andrew M. Taylor, Gabriela S. Vila

This Matlab toolbox runs a GLM on graph theoretic network properties in brain networks. The GLM accepts continuous & categorical between-participant predictors and categorical within-participant predictors. Significance is determined via non-parametric permutation tests. The toolbox allows testing of both fully connected and thresholded networks (based on a range of thresholds). The toolbox also provides a data processing path for resting state fMRI data. Several options for partialing nuisance signals are available, including local and total white matter signal (Jo et al., 2013), calculation of Saad et al. (2013)'s GCOR, and the use of Chen et al. (2012) GNI method to determine whether global signal partialing is needed. In addition, Power et al. (2014)'s motion scrubbing method is available.

Code updated. There were a few errors in the physical model of the concentration field of secreted chemokine surrounding each cell, together with a few coding errors. All have been corrected, the model refitted, and all simulations presented in the paper repeated. Results from this corrected model are on par with the published results. See pdf file for details.

NF2FF is a MATLAB script, which implements a near field to far field transformation for near field antenna measurement setups.

A graphical user interface to import, analyze and export plots from orthomosaic images of agronomic trials. Please cite the following reference in your work if you use Phenalysis: Khan Z and Miklavcic SJ (2019) An Automatic Field Plot Extraction Method From Aerial Orthomosaic Images. Front. Plant Sci. 10:683. doi: https://doi.org/10.3389/fpls.2019.00683 This tool is being developed through the sponsorship of the Australian Research Council's Industrial Transformation Research Hub on Wheat in a Hot and Dry Climate. https://www.wheathub.com.au/

Dieses Projekt versucht, aus den Oszillationskurven eines an einer schwingenden Plattform befestigten 3D-Beschleunigungssensors charakteristische Kennwerte zu ermitteln, um die posturale Gleichgewichtsleistung von Patienten quantitativ zu beurteilen.

PsPM is a powerful tool for psychophysiological modelling. It includes linear convolution models and non-linear models for SCR, and allows for modelling of other signals, too. A flexible import interface and many utilities make this software a standalone tool. IMPORTANT: As of 04.11.2019, the official code repository for PsPM has been moved to https://github.com/bachlab/PsPM . In order to check the latest releases, discussion and bug reports, please refer to our new repository. Although this website will maintained to provide further releases, there will be no active development on the SVN repository. Thank you for your understanding and for using PsPM.

Spectroradiometer control for autonomous reflectance measurements from moving vessels. The software incorporates GPS signal parsing, control of the sensor platform viewing angle (stepper motor control), sensor triggering and data recording. Continue to the download section for the latest release information Rrs data processing code (the 'fingerprint technique') is also available - but moved to my github page: https://github.com/StefanSimis -------- Oct 2014: a beta version is available (20141006) Sep 2014 news: The latest version is 20140723, addressing some bugs. See the change log. Enjoy! Two Rflex units collected over 30,000 validated Rrs spectra on the Baltic Sea this year! See http://www.ferryscope.org for dissemination of these results in the coming years. ------ Licence: http://creativecommons.org/licenses/by-nc-sa/3.0/

ReactionLab is a software package aimed for a unified computer environment to kinetic modeling of chemical reaction systems. The present implementation is founded on Matlab and Java-Swing GUI, with an interface to legacy C (and Fortran) codes.

A MATLAB package to simulate sample paths of the solution of a Itô or Stratonovich stochastic differential equation (SDE), compute statistics and estimate the parameters from data. A note of caution: SDE Toolbox is no more developed but it's still downloadable. Its inferential capabilities can be considered surpassed (at best). Actually the parameter estimation methods were already far from the state-of-art when the project began in 2007 (!). The considered implemented parametric and non-parametric Monte Carlo likelihood methods were chosen for their ability to treat both one-dimensional and multivariate SDE systems, although the quality of the inferential results can't match those obtained using more advanced techniques. Nevertheless the toolbox capabilities to simulate numerical solutions of SDE systems are still valid and can serve as a useful starting point to those willing to simulate stochastic dynamical models easily.

# Satellite Power Analysis Tool (SPAT) The tool was originally created to aid during the Satellite Power System design process, however it has evolved to a Satellite Missoin design tool. The user defines the mission and the Satellite design paramenters and, the tool will output: - Power analysis - Battery charge/discharge analysis - Link budget - Ground track coverage - Ground station visibility SPAT has been developed in MATLAB and MCR (Matlab runtime) is required. SPAT is pre-compiled and currently available for MacOS and Windows email: aitorvs(AT)gmail.com

GNAT is an open source, platform-independent MATLAB based toolbox. It is written in MATLAB and Java. It has been tested in Windows (Windows 7), Linux (Ubuntu), and Mac OS (X Lion) platforms. The original GNAT package (file GNAT.zip) provides functions for reading, writing, manipulation, visualization and simulation of glycan structures and glycosylation reaction networks (citation [1]). The second version of this software (GNATv2beta.zip) upgrades the original GNAT program with additional features that are geared towards incorporating glycan-structure experimental data into the simulation environment. For information about GNAT installation and usage, please see the GettingStarted.pdf file enclosed in the package. To cite GNAT: [1] Gang Liu, Apurv Puri and Sriram Neelamegham, Glycosylation Network Analysis Toolbox (GNAT): a MATLAB based environment for systems glycobiology, Bioinformatics 2013 29: 404-406

The Sick LIDAR Matlab/C++ Toolbox offers stable and easy-to-use C++ drivers for Sick LMS and Sick LD LIDARs. It provides a Matlab Mex interface for streaming LIDAR returns directly into Matlab. Also included are config utilities, examples, and tutorials.