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Showing 6 open source projects for "winbar 64 bit"
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GNSS-SDR
An open source software-defined GNSS receiver
An open source software-defined Global Navigation Satellite Systems (GNSS) receiver written in C++ and based on the GNU Radio framework. -
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RLaB is an interactive, interpreted scientific programming environment which provides fast prototyping and program development. Its syntax is a combination of c (curly brackets for blocks of statement, some statements) and fortran/matlab (c) (indexing of arrays starts from 1, naming of the functions). Project rlabplus provides second update to RLaB2 and third release RLaB3 of the environment for 32- and 64-bit linux systems.
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CAHST
Canopy height Statistic extraction from terrestrial laser scanner data
The software is made for generating canopy height statistics of terrestrial laser scanning (TLS) data. It is written in Matlab and compiled for standalone usage in Version 2013b 64 Bit on Windows. For running it, MS Excel and the Matlab MCR 2013b (available for free at http://ch.mathworks.com/products/compiler/mcr/) must be installed on the computer. -
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MatODE
Matlab interface to the Open Dynamics Engine (ODE)
MatODE is a simple Matlab toolbox for interfacing to the Open Dynamics Engine rigid body physics simulator (ODE, by Russell Smith), created by the Delft Biorobotics Lab (Delft University of Technology, Delft, The Netherlands). The system to be simulated is defined in an XML file, while the joint positions and motor signals can be sensed and actuated from a Matlab script. Examples are provided. Starting at version 0.30, MatODE is only available for Windows and Linux 64-bit. For older 32... -
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gnumex
Compile matlab mex files with gcc on Windows Platforms
Gnumex is a package that allows Matlab mex and engine files written in C, C++, Fortran 77 or Fortran 95 to be compiled with MinGW (or Cygwin) MS Windows versions of gcc, gfortran or g95. NOTE: Newer versions of Matlab now natively support Mingw, negating the need for this package. -
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Provides pre-compiled MEX functions that wrap around the libsvm C library. Many enhancement are applied to the C version of the library to speed up Matlab usage. 64-bit only.
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