Open Source MATLAB Software - Page 5

iElectrodes is a free and open-source Matlab® toolbox to obtain intracranial electrode coordinates from MRI and CT images. Precise and reliable localization can be achieved fast and in a semiautomatic way with minimal user intervention. The toolbox works with ECoG (subdural grids and strips) and SEEG (depth) electrodes. The new GridFit algorithm can precisely localize high-density electrodes (up to 3mm). Brain parcellations (atlas) and surfaces can be imported to aid 2D and 3D visualization and anatomical localization can be done in native or normalized space. You can plan grid and depth electrode array implantations and compare them with the implanted locations. Additional scripts are provided for image coregistration using SPM, Freesurfer pipeline integration, etc. Visit the Wiki tab to learn more about the toolbox. We are trying to make iElectrodes a great toolbox every day. We strongly appreciate your feedback. iElectrodes is developed by Alejandro Blenkmann

GeoPDEs is a suite of software tools for research on Isogeometric Analysis of PDEs. GeoPDEs is free software implemented in Octave and fully compatible with Matlab. GeoPDEs is no longer developed at SF, and has moved to GitHub. Please visit http://rafavzqz.github.io/geopdes/ The mailing list will remain active. Releases up to 2.0.4 can be found here. From version 2.1.0 onward, see https://github.com/rafavzqz/geopdes

Qi is a collection of MATLAB tools for the quantitative analysis of flow field images. Our Particle Image Velocimetry (PIV) tool, prana, implements a Robust Phase Correlation kernel for PIV analysis, and now includes Particle Tracking Velocimetry and sizing tools. Tools for pressure calculation, proper orthogonal decomposition (POD), and 3d imaging are under development.

Fast and multi platform reader of network traces, have possible to shared date in screen, file or Matlab

This project provide hidden Markov model speech recognition system by using Matlab/Simulink/Stateflow.

The project has moved to a new location: http://research.spa.aalto.fi/projects/aparat/

Version 1.1 is no longer supported. Please see the new version at https://usc-imi.github.io/aeo-light/ Description for 1.1 continues below: AEO-Light 1.1 is an open-source software application that takes a digital scan of motion picture film with optical sound tracks and directly reproduces the audio, producing as a result a synchronized sound film file. Funded by a grant from the National Endowment for the Humanities and by the University of South Carolina.

A collection of aerodynamic data in HDF format. The data is used in the semiempirical models of aircraft aerodynamic coefficients. Reference: Aircraft Dynamics: From Modeling to Simulation Marcello R. Napolitano, Wiley, 2012. http://eu.wiley.com/WileyCDA/WileyTitle/productCd-EHEP002021.html

The BWTT is an artefact of the EU Framework 7 Project BIOTACT 215910. It is an extensible software framework that runs under Matlab (Mathworks, TM) providing for the computation of whisker tracking algorithms for small mammal observation. Other tracking algorithms (e.g. snout tracking) can also be included. The software is released with a number of algorithms included, allowing rapid whisker tracking with no other software required (other than Matlab).

The EasyDIAg toolbox allows the calculation of inter-rater agreement timed-event sequential data taking into account errors of commission and ommision.

EigenMS is a normalization method implemented in R (and older version in Matlab) available as a set of two functions that should be used in a sequence. Please download EigenMS.zip file (latest version). Latest version uploaded in October 2017 has a bugfix for single treatment group normalization. Rescaling has been omitted from 2015. EigenMS utilizes SVD to detect bias trends in the data and eliminates them. EigenMS eliminates effects from known and unknown factors and can be utilized for any -omic platform. We have shown its utility in LC-MS/MS and metabolomics in the following two papers: 1) PMID: 19602524. "Normalization of peak intensities in bottom-up MS-based proteomics using singular value decomposition". Karpievitch YV, Taverner T, Adkins JN, Callister SJ, Anderson GA, Smith RD, Dabney AR. Bioinformatics 2009 2) "Metabolomics data normalization with EigenMS" Karpievitch YV, Nikolic SB, Wilson R, Sharman JE, Edwards LM. PLoS One 2014

The EPC software calculates the expected velocities for any points located on the earth’s surface given the relevant Euler pole parameters and estimates the Euler pole parameters given the observed velocities of a set of sites located on the same tectonic plate.In version 2, the software is able to estimate or apply the origin rate bias (ORB) in the direct and inverse Euler pole problems. Keywords: Direct Euler pole problem, Inverse Euler pole problem, Origin rate bias.

An evaluation framework for assessing contours generated by segmentation algorithms acting on cardiac magnetic resonance (MR) images. These contours are important for clinical assessment of left ventricular volume and mass.

Development version: https://github.com/pirovc/fgap FGAP aims to improve genome sequences by merging alternative assemblies or incorporating alternative data, analyzing the gap region and indicating the best sequence to close the gap.

The purpose of the Freely Moving Animal (FMA) Toolbox is to help analyze electrophysiological and behavioral data recorded from freely moving animals.

FMR Eyetrack is a SPM plugin that allows to directly estimate the point of gaze from the functional MRI data without the help of a dedicated eye tracker. I am no longer working in this field. If anyone wants to pick up this project, please contact me.

Research on automatic face recognition in images has rapidly developed into several inter-related lines, and this research has both lead to and been driven by a disparate and expanding set of commercial applications. The large number of research activities is evident in the growing number of scientific communications published on subjects related to face processing and recognition. Index Terms: face, recognition, eigenfaces, eigenvalues, eigenvectors, Karhunen-Loeve algorithm.

GRAMPC is a nonlinear MPC framework that is suitable for dynamical systems with sampling times in the (sub)millisecond range and that allows for an efficient implementation on embedded hardware. The algorithm is based on an augmented Lagrangian formulation with a tailored gradient method for the inner minimization problem. GRAMPC is implemented in plain C with an additional interface to C++ and MATLAB/Simulink. The basic structure and usage of GRAMPC are described in the documentation that comes along with the source files. More details about the algorithm and its performance can be found in the corresponding article published in Optimization and Engeneering. The article is available online under open access at: https://doi.org/10.1007/s11081-018-9417-2. Please cite the paper when you are using results obtained with GRAMPC.

JOELib/JOELib2 is a cheminformatics library which supports SMARTS substructure search, descriptor calculation, processing/filtering pipes, conversion of file formats, 100% pure Java, and interfaces to external programs (e.g. Ghemical) are available.

An implementation of the Kernel-based Orthogonal Projections to Latent Structures (K-OPLS) method for MATLAB and R. The supplied functionality includes e.g. cross-validation, kernel parameter optimization, model diagnostics and plot tools.

KARDIA ("heart" in Greek) is a Matlab software with a graphic user interface designed for the analysis of cardiac interbeat interval data.

Matlab software for analysis of skin conductance data (SC; viz., electrodermal activity, EDA; galvanic skin response, GSR). Data decomposition and scientific analysis based on deconvolution approach. Various functions via GUI or batch-mode.

Elastic network models (ENMs) have been shown to generate the dominant functional equilibrium motions of biomolecules quickly and efficiently. MAVEN simplifies ENM generation, allows for diverse models to be used, and facilitates useful analyses.

The collection MICROMECHANICS (micromechanics.zip) includes: (1) lecture notes (microbook.pdf) on the analysis of heterogeneous materials and homogenization, and (2) source codes (microcode.tar.bz2) that accompany the computational exercises in Part II of the notes. Instructions on using the codes are given in the README file of each exercise. Further instructions can be found in the file microcode.tar.bz2. The MATLAB codes are used for visualization, evaluating analytical bounds and estimates as well as in the generation of digital and particulate microstructures. The Fortran codes are based on the finite element method in linear and nonlinear settings, the latter capable of finite deformations with damage. The underlying theory is outlined in the lecture notes. -- İlker Temizer Assistant Professor Department of Mechanical Engineering Bilkent University 06800 Bilkent, Ankara Turkey

Fast Finite Element Method implementation in native MATLAB.