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Navigation: Home \ Development \ Components & Libraries \ IT++

IT++

4.2.0 by Sourceforge

IT++ is a C++ library of mathematical, signal processing and communication classes and functions. Its main use is in simulation of communication systems and for performing research in the area of communications. 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
categories: signal processing, communication classes, communication function, process, signal, communication

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Software Info
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updates pricing and software information of IT++ full version from the publisher, but some information may be out-of-date.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!
Released:	September 15, 2011
Filesize:	1.30 MB
Platform:	Windows 2000, Windows 2003, Windows XP, Windows Vista, Windows 7, Linux, Mac OS X
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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.