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This is a fast C implementation of Arturo Camacho's SWIPE' pitch extraction algorithm. See the project homepage for more about the advantages of the SWIPE' algorithm. swipe-1.0.tar.gz contains the current source, which should compile quite neatly.
CIVx is a free advanced PIV (Particle Imaging Velocimetry) code, developped in Fortran and C++. Input : pair of png images. Output : velocity field in NetCDF format. It is used by the UVMAT Matlab code develloped at LEGI.
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.
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Using the Mean Machine, even very large EEG data sets can be analyzed (artifact detection, evoked potentials, frequency analysis, ect.). It is a Matlab GUI application, which can also be run via the commandline without GUI-support.
MATLAB Audio Database Toolbox enables easy access and filtering of audio databases such as TIMIT and YOHO by their metadata. The database toolbox comes to replace the manual filtering and custom coding usually required for accessing such databases.
An easy to install and use toolbox for octave for the calculation purpose of power system along with features like Economic load dispatch, load flow analysis, transmission line parameter and swing equation etc
Provides an API, which enables the Matlab or Octave user (and developer) to incorporate Space Weather data and metadata resources from the Space Physics Interactive Data Resource (SPIDR) directly into an Matlab/Octave application. Examples included.
HOT is a package of Matlab and Octave compatible functions that manage thermodynamic data for a wide range of species. Functions calculate almost all the most common thermodynamic quantities of mixtures.
Python users may also want to look at PYroMat at https://chmarti1.github.io/PYroMat/index.html
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A cross-platform library that computes fast and accurate SIFT image features. libsiftfast provides Octave/Matlab scripts, a commandline interface, and a python interface (siftfastpy). Optimized with SIMD instructions and OpenMP .
Maximally flat (maxflat) digital filter design for Octave and Matlab. "Maximally flat" means that the magnitude frequency response has the maximum number of vanishing derivatives at 0 and pi. Handles arbitrary numbers of poles and zeros.
Search and export numerics from any text/ascii file. Data sets (scalar, vector, matrix) are given unique names, based on file content. Results can be generated for Matlab, IDL, Scilab, Octave, XML, HTML A wrapper exists for direct usage from Matlab.
Source code for the paper J. Keiner and B. Waterhouse. Fast Principal Components Analysis method for finance problems with unequal time steps. In P. L'Ecuyer and A. B. Owen, editors, Monte Carlo and Quasi-Monte Carlo Methods 2008, Springer Verlag, 2010
Matlab package for stretched exponential fit of discrete values, such as the number of requests to each video file in a video system, the number of posts by each user in a social network (e.g., a blog site), etc.
A suite of programs for performing particle image velocimetry, a common technique in the field of fluid mechanics. The suite includes programs to perform cross-correlation, synthetic image generation, as well as graphical visualization.
Excited Energy Levels and Various Shapes (EELViS) was developed for calculation of the Extended Tao-Eldrup model results. The relation between potential well dimensions and positronium (Ps) lifetime can be calculated using this code.
This is a tool(MATLAB code) to find out the least-weighing path in a maze containing coloured squares where every colour has its own specified weight/cost. By default, it is programmed to calculate the path in a 8x8 square maze.
This program has been written having in mind to create an useful tool to evaluate the Motor Evoked Potentials (MEPs) generated by Transcranial Magnetic Stimulation (TMS) and recorded with the program "Signal" (version 2.xx).
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/
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...
MATLAB driver routines for the thermoluminescence apparatus using PT100 resistors as the heating and sensing elements described in the Review of Scientific Instruments v78, 083905 (2007). [DOI: 10.1063/1.2776972]
This tool allows to compute LOLIMOT models. LOLIMOT models are also called neuro-fuzzy models or fast neural network models. This tool can export the model into C, C++, Matlab.
NodeWeaver is a tool for generating SystemML Neuronal Networks from Neuronal Network descriptions (these technologies are nascent, so no links yet...). Intended use is to generate SystemML NNs for later execution using a SystemML simulator (e.g. BRAHMS).
Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.