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

IT++

 4.2.0   by Sourceforge

Vista Compatible
Software Description:
... of equations (including over- and underdetermined)
* random number generation (Mersenne Twister generator)
* binary and Galois types (scalar, vector and matrix)
* integration of 1-dimensional functions
* unconditional nonlinear optimization (Quasi-Newton search)
* statistics class

Signal processing

* filter functions and classes
* frequency domain filtering
* FFT, DFT, DCT, and Hadamard transforms
* time and frequency domain windows
* evaluating and finding roots ... Download IT++


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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updates pricing and software information of IT++ full version from the publisher, but some information may be out-of-date.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.


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