BioSig is a software library for processing of biomedical signals (EEG, ECG, etc.) with Matlab, Octave, C/C++ and Python. A standalone signal viewer supporting more than 30 different data formats is also provided.
GeographicLib is a small set of C++ classes for converting between geographic, UTM, UPS, MGRS, and geocentric coordinates, for gravity (e.g., EGM2008), geoid, and geomagnetic field (e.g., WMM2010) calculations, and for solving geodesic problems. For documentation, visit https://geographiclib.sf.io
C++, Matlab and Python library for Hidden-state Conditional Random Fields. Implements 3 algorithms: LDCRF, HCRF and CRF. For Windows and Linux, 32- and 64-bits. Optimized for multi-threading. Works with sparse or dense input features.
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.
Static and Dynamic Structural Analysis of 2D and 3D frames.
FRAME3DD is a program for the static and dynamic structural analysis of two- and three-dimensional frames and trusses with elastic and geometric stiffness.
Cross platform electromagnetics finite element analyisis based on FEMM
Cross platform electromagnetics finite element analysis code, with very tight integration with Matlab/Octave. 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! Contact me on the discussion forum for more information.
GEO (GEodesia para Octave-GEodesy for Octave) es un proyecto que pretende cubrir el vacío existente en cuanto a herramientas libres de procesado de datos topográficos y geodésicos
Tools for mass spectrometry, especially for protein mass spectrometry and proteomics: Quantification tools, converters for Applied Biosystems (Q Star and Q Trap), calculation of in-silico fragmentation spectra, converter for Mascot result files
GLPKMEX - a Matlab MEX interface for the GLPK library Note: GLPKMEX is not currently compatible with glpk-4.49, or later. please use with glpk 4.40 - 4.48.
PopED (Population Experimental Design) is a software tool for computing optimal experimental designs. The software has been developed with an emphasis on drug trials based on population models (non-linear mixed effects models).
The SELENA and RISe software tools are two packages to assist in computing earthquake damage scenarios. The damage probability for any specific structure follows the computation principles of HAZUS.
AERST is a C++ tool to simulate AER (Address-Event-Representation)-based systems
A tool able to simulate gene-environment and gene-gene interactions.
Gene-Environment iNteraction Simulator 2 (GENS2) simulates interactions among two genetic and one environmental factor and also allows for epistatic interactions. GENS2 is based on data with realistic patterns of linkage disequilibrium, and imposes no limitations either on the number of individuals to be simulated or on number of non-predisposing genetic/environmental factors to be considered. The GENS2 tool is able to simulate gene-environment and gene-gene interactions. To make the Simulator more intuitive, the input parameters are expressed as standard epidemiological quantities. GENS2 is written in Python language and takes advantage of operators and modules provided by the simuPOP simulation environment. It can be used through a graphical or a command-line interface.
Global Land Use and technological Evolution Simulator.
Simple .m files, Basic Neural Networks study for Octave (or Matlab)
--> For a more detailed description check the README text under the 'Files' menu option :) The project consists of a few very simple .m files for a Basic Neural Networks study under Octave (or Matlab). The idea is to provide a context for beginners that will allow to develop neural networks, while at the same time get to see and feel the behavior of a basic neural networks' functioning. The code is completely open to be modified and may suit several scenarios. The code commenting is verbose, and variables and functions do respect English formatting, so that code may be self explanatory. Messages to the screen are localized, both in English and Spanish, and it is really easy to add another language to the localization. If any further explanation is needed, the forum/discussion page may be of help :) Comments and suggestions are very welcome.
Rapid Alignment Free Tool for Sequences Similarity Search
RAFTS3 can perform high-speed protein search comparisons locally using a desktop computer or laptop. RAFTS3 performed searches many times faster than those with BLASTp against large protein databases such as NR and Pfam, with a small loss of sensitivity depending on the similarity degree of the sequences. RAFTS3 is a new alternative for fast comparison of protein sequences, genome annotation and biological data mining. Preprint: http://dx.doi.org/10.1101/055269 Precomputed databases evaluated on paper are available for download at http://www.bioinfo.ufpr.br/software/rafts3
Load and manipulate Picarro data files with Matlab or GNU Octave
A collection of m-files to load and manipulate Picarro data files with Matlab or GNU Octave.
A model that projects climate change impacts to coral reefs
The COMBO model projects climate change impacts to coral reefs based on estimated future changes in sea-surface temperature and ocean acidification. Outputs include estimated timing of bleaching events, changes in coral reef cover, and associated changes in economic values.
This is the source code used in the 2013 PhD thesis by Warren Creemers
The thesis titled "On the Recognition of Emotion from Physiological Data" This thesis was submitted by Warren Creemers In Partial Fulfillment of the Requirements for the award of Doctor of Philosophy, (Computer Science) and is currently under examination. Warren Creemers completed this work at the Faculty of Communications, Health and Science - Edith Cowan University in February, 2013.
approximate Bayesian computation for stochastic differential equations
A MATLAB toolbox for approximate Bayesian computation (ABC) in stochastic differential equation models. It performs approximate Bayesian computation for stochastic models having latent dynamics defined by stochastic differential equations (SDEs) and not limited to the "state-space" modelling framework. Both one- and multi-dimensional SDE systems are supported and partially observed systems are easily accommodated. Variance components for the "measurement error" affecting the data/observations can be estimated. A 50-pages Reference Manual is provided with two case-studies implemented and discussed. The methodology is based on the research article available at http://arxiv.org/abs/1204.5459 Author's research page is http://www.maths.lth.se/matstat/staff/umberto/
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.
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/
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.
PsySoundPro - audio file analysis for objective psychoacoustics measures. Includes measures like Virtual Pitch, Loudness, Etc. etc.