Open Source MATLAB Software - Page 2

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.

A simple yet powerful mesh generator based on MATLAB/GNU Octave language, creating finite-element mesh from surfaces or arbitrary 3D volumetric images (such as MRI/CT scans) with fully automatic workflows.

Development platform and toolboxes for parameter continuation, e.g., bifurcation analysis of dynamical systems and constrained design optimization. This material is based upon work partially supported by the National Science Foundation under Grant No. 1016467 and the Danish research council (FTP) under the project number 0602-00753B. Any opinions, findings, and conclusions or recommendations expressed on this site are those of the authors and do not necessarily reflect the views of the National Science Foundation or other funding sources. In the most recent release, documentation and tutorials are available for the following toolboxes: * ep : continuation and bifurcations of equilibrium points * coll : continuation of constrained collections of trajectory segments, including multi-segment boundary-value problems * po : continuation and bifurcations of periodic orbits in smooth and hybrid systems * recipes : collection of examples from the book Recipes for Continuation

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)

niftilib is a collection of i/o routines for the nifti1 neuroimage data format. C (nifticlib), Java (niftijlib), Matlab (niftimatlib), and Python (pynifti) code is available. For nifti format info see: http://nifti.nimh.nih.gov/

WavePacket is a program package for numerical simulation of quantum-mechanical wavepacket dynamics of distinguishable particles. It can be used to solve single or coupled time-independent or time-dependent (linear) Schrödinger and Liouville-von Neumann-equations, partly also classical or quantum-classical Liouville equations. Optionally accounting for the interaction with external electric fields within the semiclassical dipole approximation, WavePacket can be used to simulate modern experiments involving ultrashort light pulses in photo-induced physics or chemistry, including quantum optimal control. Allowing for visualization of dynamics 'on the fly', WavePacket is easy to use . First established in 2004, the present Matlab version is in a stable, mature state. Further development mainly by Burkhard Schmidt at WIAS and FU Berlin. See also our articles at https://doi.org/10.1016/j.cpc.2016.12.007 https://doi.org/10.1016/j.cpc.2018.02.022 https://doi.org/10.1002/JCC.26045

The Orbit Determination Toolbox (ODTBX) is developed by the Navigation & Mission Design branch at NASA Goddard Space Flight Center as an advanced mission simulation and analysis tool used for concept exploration, proposal, early design phase, and/or rapid design center environments. ODTBX functions and utilities are combined in a flexible architecture that allows for modular development of navigation algorithms and simulations. The core ODTBX functionality is realized through a set of estimation commands that incorporate Monte Carlo data simulation, linear covariance analysis, and measurement processing at a generic level.

This project is the MATLAB development of a virtual sound level meter. The program will read in a calibrated .wav file and allow the user to analyze it as one would analyze a sound field with a sound level meter. The software implements Fast, Slow, Impulse and LEQ; A, C and Flat Weighting; Ln and Noise Dose analysis; Octave and 1/3 Octave band analysis; high resolution FFT analysis and spectrograms. Band analysis can be made using fast FFT methods or slower, but ANSI standard methods. Source code requires MATLAB + Signal Processing Toolbox. Developed under MATLAB R2010a (but might work with some earlier versions) Executable version does not require MATLAB and runs under Windows XP, Vista, and Windows 7.

DDE-BIFTOOL is a set of routines for performing numerical bifurcation analysis of delay-differential equations, running in Matlab or Octave[2]. It was originally created by Koen Engelborghs at KU Leuven (Belgium). [1] Tutorial demo <http://ddebiftool.sourceforge.net/demos/neuron/html/demo1_simple.html> shows the output of an illustrative demo. <http://ddebiftool.sourceforge.net> links to documentation, a list of contributors and current maintainers. The original DDE-BIFTOOL webpage at KU Leuven [1] stores versions up to 3.0 and their documentation. [1] <http://twr.cs.kuleuven.be/research/software/delay/ddebiftool.shtml> [2] <https://www.gnu.org/software/octave> Further tutorials (by M Bosschaert) at <https://sites.google.com/a/uhasselt.be/maikel-bosschaert/home> (pdf files).

Description: Comet assay provides an easy solution to estimate DNA damage in single cells through microscopy assessment. To obtain reproducible and reliable quantitative data, we developed an easy-to-use tool named CometAnalyser. CometAnalyser is an open-source deep-learning tool designed for the analysis of both fluorescent and silver-stained wide-field microscopy images. Once the comets are segmented and classified, several intensity/morphological features are automatically exported as a spreadsheet file. Video Tutorial: CometAnalyser is written in MATLAB. It works with Windows, Macintosh, and UNIX-based systems. Please, download the sample datasets and test it watching the video tutorial to understand how it works: https://www.youtube.com/watch?v=vh2VFnMw50A Contacts: filippo.piccinini85@gmail.com beleonattila@gmail.com

QASE is a Java-based API designed to provide all the functionality needed to create game agents in Quake 2. Powerful enough to facilitate high-end research, it is also suitable for undergrad courses geared towards classic AI and agent-based systems.

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/

Sample code demonstrating how to use OmniDriver to drive Ocean Optics full range of spectrometers from C, C++, C#, Java, LabVIEW, Delphi, MATLAB and more.

librsb is a library for sparse matrix computations featuring the Recursive Sparse Blocks (RSB) matrix format. This format allows cache efficient and multi-threaded (that is, shared memory parallel) operations on large sparse matrices. The most common operations necessary to iterative solvers are available, e.g.: matrix-vector multiplication, triangular solution, rows/columns scaling, diagonal extraction / setting, blocks extraction, norm computation, formats conversion. The RSB format is especially well suited for symmetric and transposed multiplication variants. On these variants, librsb has been found to be faster than Intel MKL's implementation for CSR. Most numerical kernels code is auto generated, and the supported numerical types can be chosen by the user at build time. librsb implements the Sparse BLAS standard, as specified in the BLAS Forum documents.

Science based weld software to develop optimal automatic weld procedures. SmartWeld is a PC based tool for designers, engineers, and technicians to aid in selecting, optimizing, and configuring automated welding processes.

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!

Ctrax is a machine vision program for estimating the positions and orientations of many walking fruit flies, maintaining their individual identities over long periods of time with minimal supervision, and on average for 1.5 fly-hours automatically.

Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc

The purpose of this program is to teach a computer to classify plants via their leaves. You just need to input the image of a leaf(acquired from scanner or camera), then the computer can tell you what kind of plant it is.

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

A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.

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.).

A package for transient and steady state simulation of organic solar cells.

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.

This project provides the SOFA Toolbox, a toolbox for the Spatially Oriented Format for Acoustics (SOFA). The SOFA Toolbox is the successor of the SOFA API for Matlab/Octave. More information on the SOFA Toolbox can be found at https://github.com/sofacoustics/SOFAtoolbox. SOFA is a file format intended for reading, saving, and describing spatially oriented data of acoustic systems. Examples of data are head-related transfer functions (HRTFs), binaural room impulse responses (BRIRs), spatial room impulse responses (SRIR), multichannel measurements such as done with microphone arrays, and directionality data of loudspeakers. More information on SOFA can be found at https://sofaconventions.org. Here we store the release packages only. The source code can be found at https://github.com/sofacoustics/SOFAtoolbox.