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IT++4.2.0 by Sourceforge |
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Software Description:
... The kernel of the library consists of generic vector and matrix classes, and a set of accompanying routines. Such a kernel makes IT++ similar to MATLAB or GNU Octave. ...
type: Open Source
Download IT++categories: signal processing, communication classes, communication function, process, signal, communication Add to Download Basket Report virus or spyware |
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| Software Info | |
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Best Vista Download periodically updates pricing and software information of IT++ full version from the publisher,
but some information may be out-of-date. You should confirm all information. Software piracy is theft, using crack, warez passwords, patches, serial numbers, registration codes, key generator, keymaker or keygen for IT++ license key is illegal and prevent future development of IT++. Download links are directly from our mirrors or publisher's website, IT++ torrent files or shared files from rapidshare, yousendit or megaupload are not allowed! |
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| Released: | September 15, 2011 |
| Filesize: | 1.30 MB |
| Platform: | Windows 2000, Windows 2003, Windows XP, Windows Vista, Windows 7, Linux, Mac OS X |
| Install | Instal And Uninstall |
| Add Your Review or Windows Vista Compatibility Report |
IT++- Releases History |
| Software: | IT++ 4.2.0 |
| Date Released: | Sep 15, 2011 |
| Status: | New Release |
| Release Notes: | * Added SISO class implementing several algorithms used in turbo decoders/ receivers * Added EXIT class for EXIT chart computation of turbo receivers * Added STC class for the generation of Space Time block codes used in MIMO systems with turbo receivers * Added support for testing IT++ library in Visual Studio 2008. Current approach relies on fc (file compare) utility which seems to be available only in Visual Studio 2008. * Added rank() function, which calculates the rank of a matrix by counting the number of non-zero singular values. SVD function from LAPACK is thus required by this function. * Added implementation of Gamma(alpha, beta) random number generator. The implementation of the Gamma_RNG::sample() function was taken from the R statistical language. * Added qr() overloaded function that does not compute Q. For some tasks (triangularization) the Q matrix is not really needed. |
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