Open Source MATLAB Software - Page 3

Artifact3-D offers a suite of functions for analysing 3D scans of archaeological artifacts. These functions are repeatable, objective, precise, and customizable. Functions are also available for the neat documentation of artifacts. Individual artifacts can be imported, analyzed and their documentation exported, or entire assemblages can be automatically analyzed. Please cite: Grosman L, et al. (2022) Artifact3-D: New software for accurate, objective and efficient 3D analysis and documentation of archaeological artifacts. PLoS ONE 17(6): e0268401. https://doi.org/10.1371/journal.pone.0268401 To install, download "Artifact3-D Installation.zip" available in the Files tab, or click Download (green button) in the Summary tab. Please see the README file for installation instructions. The open source MATLAB code is available at the following link (https://drive.google.com/drive/folders/17RMndfkIGmS_aIdW8rc9vxDO4gBuduvt?usp=sharing).

LIPRAS v466 LIPRAS [LEEP-ruhs], short for Line-Profile Analysis Software, is a graphical user interface for least-squares fitting of Bragg peaks in powder diffraction data. For any region of the inputted data, user can choose which profile functions to apply to the fit, constrain profile functions, and view the resulting fit in terms of the profile functions chosen. If you use LIPRAS for your research, please cite it: Giovanni Esteves, Klarissa Ramos, Chris M. Fancher, and Jacob L. Jones. LIPRAS: Line-Profile Analysis Software. (2017). DOI: 10.13140/RG.2.2.29970.25282/3 The installation directory should have the LIPRAS Manual and SampleData, otherwise refer to GitHub page below.

The GVAR Toolbox was originally launched in December 2010 with the release of version 1.0, sponsored by the European Central Bank. Version 1.1 was released in July 2011 and is available to download, free of charge, from this website. Derived from Dr. L.Vanessa Smith's project Exploring International Economic Linkages Using a Global Model, the GVAR Toolbox 1.1 is the second release of a collection of MatLab procedures with an Excel-based interface, designed for the purpose of GVAR modelling. The GVAR modelling approach provides a general yet practical global modelling framework for the quantitative analysis of the relative importance of different shocks and channels of transmission mechanisms. This makes it a suitable tool for policy analysis, although it has been used in a number of other contexts, including analysing credit risk and evaluating the UK entry into the Euro. The GVAR Toolbox 1.1 is primarily tailored to policy analysis and forecasting.

The Janelia Automatic Animal Behavior Annotator (JAABA) is a machine learning-based system that enables researchers to automatically compute interpretable, quantitative statistics describing video of behaving animals. Through our system, users encode their intuition about the structure of behavior by labeling the behavior of the animal, e.g. walking, grooming, or following, in a small set of video frames. JAABA uses machine learning techniques to convert these manual labels into behavior detectors that can then be used to automatically classify the behaviors of animals in large data sets with high throughput. JAABA combines an intuitive graphical user interface, a fast and powerful machine learning algorithm, and visualizations of the classifier into an interactive, usable system for creating automatic behavior detectors. Documentation is available at: http://jaaba.sourceforge.net/

Matlab's MAT-file I/O API in JAVA. Supports Matlab 5 MAT-flie format reading and writing. Written in pure JAVA.

A Matlab toolbox for calibrating the Kinect Sensor. It provides functions to jointly calibrate the depth sensor with a color camera as well as to generate a depth map for the color image and reproject the points in metric coordinates.

Face recognition using BPNN. Contains 1.Face recognition using Back propagation neural network (customize code) code using matlab. 2. Face recognition using Back propagation network (builtin) code using matlab.Project closed for now,Adeel Raza Azeemi

PAMGuide is acoustic analysis software for the characterisation of the acoustic environment from sound recordings. PAMGuide can be used to produce calibrated spectrograms and statistical analyses of sound levels, and is provided in both MATLAB and R. A Tutorial on getting started with PAMGuide can be downloaded here: http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12330/suppinfo PAMGuide was published as supplementary material to the following Open Access journal article: Merchant, N.D., Fristrup, K.M., Johnson, M.P., Tyack, P.L., Witt, M.J., Blondel, P., Parks, S.E. (2015). Measuring acoustic habitats. Methods in Ecology and Evolution. http://dx.doi.org/10.1111/2041-210X.12330

PROPER is a library of routines for the propagation of wavefronts through an optical system using Fourier-based methods. It was developed at the Jet Propulsion Laboratory for modeling stellar coronagraphs, but it can be applied to other optical systems were diffraction propagation is of concern. It is currently available for IDL (Interactive Data Language), Matlab and Python (3.x). It includes routines for generating complex apertures and obscurations and aberrations (Zernike & PSD-defined). It includes a model of a deformable mirror for wavefront control. The routines perform near and far field propagation with automatic selection of propagators. The latest version is v3.2.7 released on 15 June 2022. Please select the "PROPER Updates Notifications" tab to register to be notified when an updated version is posted. Please report any bugs using the Tickets tab.

SegyMAT is a set of Matlab/Octave m-files to read and write SEG Y data following SEG Y Revision 0 and 1

Software developed for the analysis of Neutron Reflectivity data.

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.

Did you ever want to store your MATLAB(R) data in a SQL database? Nothing large, simply a few array or strutures in a few tables. Maybe a few indicies and everything manageable with SQL commands? Then msqlite will be the right choice for you! mksqlite connects the power of MATLAB(R) with the efficiency of the SQLite database engine. (See also https://github.com/AndreasMartin72/mksqlite)

Cross platform electromagnetics finite element analysis code, with very tight integration with Matlab/Octave. Development of xfemm now takes place on Github here: https://github.com/REOptimize-Systems/xfemm xfemm is a refactoring of the core algorithms of the popular Windows-only FEMM (Finite Element Method Magnetics, www.femm.info) to use only the standard template library and therefore be cross-platform. The codes can be used as a library, standalone executables, or through the advanced Matlab/Octave interface, which uses direct data exchange at the memory level rather than the original FEMM ActiveX or file-based interface, for much improved communication speed. If you use xfemm, particularly for industrial work, but also academic, it will be greatly appreciated if you could write an email stating this and how it has supported your work. This is a low-cost way to ensure further development and maintenance will continue!

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.

Content-based Image Retrieval (CBIR) consists of retrieving visually similar images to a given query image from a database of images. It is done by comparing selected visual features such as color, texture and shape from the image database.

This is a MATLAB model of an end-to-end chain compliant to the DVB-T2 standard (ETSI EN 302 755 available from www.etsi.org). It was originally developed within the DVB consortium (www.dvb.org) by AICIA, BBC, Pace, Panasonic and SIDSA.

FEATool Multiphysics (https://www.featool.com) is a fully integrated, flexible and easy to use physics and finite element FEM simulation toolbox for MATLAB. Developed with ease of use in mind, everyone is able to set up and perform complex multiphysics simulations in a simple GUI without learning any coding, programming, or scripting. In addition to built-in FEM and PDE solvers, FEATool features full integration with the high performance OpenFOAM CFD and FEniCS PDE solvers. With built-in CAD and pre-processing, automatic mesh generation, solvers, and postprocessing, FEATool enables large scale dynamical models and physics simulations to be set up and solved easily and quickly directly in the FEATool MATLAB GUI. Multiphysics and multi-simulation also allows for fully coupled fluid flow, heat transfer, chemical transport, electromagnetics, and fluid-structure interaction simulations.

Blueprint XAS is a Matlab-based suite designed for the processing and analysis of near-edge x-ray absorption spectroscopy (XAS) data. The suite is designed primarily to assist users in exploring reasonable fit solutions while minimizing user bias.

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

Quaternion toolbox for Matlab is a toolbox that extends Matlab to handle matrices of quaternions with real and complex components. Many Matlab operators and functions are overloaded to work for real quaternion and complexified quaternion matrices. Version 2 of the toolbox adds support for octonions. Version 3 adds symbolic computation with quaternions, provided that you have the Symbolic Math Toolbox (if you don't the numeric functionality will still work).

The STK is a (not so) Small Toolbox for Kriging. Its primary focus in on the interpolation / regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior. The STK also provides tools for the sequential and non-sequential design of experiments. Even though it is, currently, mostly geared towards the Design and Analysis of Computer Experiments (DACE), the STK can be useful for other applications areas (such as Geostatistics, Machine Learning, Non-parametric Regression, etc.).

mTRF-Toolbox is a MATLAB package for modelling multivariate stimulus-response data, suitable for neurophysiological data such as MEG, EEG, sEEG, ECoG and EMG. It can be used to model the functional relationship between neuronal populations and dynamic sensory inputs such as natural scenes and sounds, or build neural decoders for reconstructing stimulus features and developing real-time applications such as brain-computer interfaces (BCIs). Toolbox Paper: http://dx.doi.org/10.3389/fnhum.2016.00604 Methods Paper: https://doi.org/10.3389/fnins.2021.705621

GPLAB is a Genetic Programming Toolbox for MATLAB