Octave has been predominantly built with MATLAB compatibility in mind. It's got loads of characteristics in popular with MATLAB:
neurolabusc/NiiStat - NiiStat is a set of Matlab scripts for analyzing neuroimaging details from medical populations
Each variable in MATLAB® is really an array that will hold lots of quantities. When you need to accessibility selected components of the array, use indexing.
Cameras use shade filter arrays in which each pixel has only one color (purple, environmentally friendly or blue) sensor. The digital camera will have to estimate one other two colours through the neighboring sensors --- this method is referred to as demosaicing. We try and build attributes connected with the demosaicing algorithm by computing studies of how pixel colors relate to their neighbors. We develop a classifier from these characteristics and report on First success.
schneems/Octave - my octave routines for 2011 stanford equipment Discovering class, posted following the thanks day obviously
MuSAELab/SRMRToolbox - A non-intrusive objective metric for speech high quality and intelligibility for typical Listening to listeners and cochlear implant customers
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kalleastrom/ImageAnalysisExamples - A set of matlab scripts illustrating distinctive principles in Continue impression Examination
zprime/matlabfrag - matlabfrag is usually a functionality which exports a Matlab determine to .eps and .tex information for use in LaTeX/pdfLaTeX/LyX.
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MATLAB was initially adopted by researchers and practitioners in control engineering, Little's specialty, but swiftly unfold to a number of other domains.
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