Showing 11 open source projects for "gnu linux"

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  • 1
    FieldTrip

    FieldTrip

    The MATLAB toolbox for MEG, EEG and iEEG analysis

    FieldTrip is the MATLAB software toolbox for MEG, EEG and iEEG analysis, which is released free of charge as open source software under the GNU general public license. FieldTrip is developed by members and collaborators of the Donders Institute for Brain, Cognition, and Behaviour at Radboud University, Nijmegen, the Netherlands. The toolbox offers advanced analysis methods of MEG, EEG, and invasive electrophysiological data, such as time-frequency analysis, source reconstruction using...
    Downloads: 3 This Week
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  • 2
    STK

    STK

    a Small (Matlab/Octave) Toolbox for Kriging

    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),...
    Downloads: 6 This Week
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  • 3

    A2RMS Algorithm

    Implementation of the A2RMS Algorithm in Matlab

    Implementation of the A2RMS Algorithm for univariate densities defined for real values.
    Downloads: 0 This Week
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  • 4
    All future developments will be implemented in the new MATLAB toolbox SciXMiner, please visit https://sourceforge.net/projects/scixminer/ to download the newest version. The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
    Downloads: 1 This Week
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  • 5

    abc-sde

    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...
    Downloads: 0 This Week
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  • 6
    This is a Matlab software package for single molecule FRET data analysis.
    Downloads: 0 This Week
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  • 7
    T3S Tool

    T3S Tool

    Learning Stochastic Discrete Event Systems

    Stochastic discrete event system analysis and verification are essential in order to ensure reliability in such systems. However, models that cannot be constructed with an hand-made process need to be learned. Thus, the SDES toolbox proposes an automated solution that is embedded in Matlab to learning and analisis generalized semi-Markov processes.
    Downloads: 0 This Week
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  • 8
    A Matlab toolbox for interfacing with the pure JAVA numerical library Snifflib. This toolbox provides convenience m-files for interoperability with Snifflib from within an active Matlab session running a JAVA virtual machine.
    Downloads: 0 This Week
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  • 9
    This project aims to provide open source software implementing the Wedge algorithm for the estimation of parameters in dynamical systems models. This project also seeks to create tutorials and resources for those using Wedge.
    Downloads: 0 This Week
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  • 10
    A collection of different methods for implementing in C++ polycrystalline growth for metals during annealing or recrystallization.
    Downloads: 0 This Week
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  • 11
    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...
    Downloads: 0 This Week
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