IT++ 4.2.0 Full Description
IT++ is a C++ library of mathematical, signal processing and communication routines
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.
The IT++ library originates from the former department of Information Theory at the Chalmers University of Technology, Gothenburg, Sweden. Because the library is coded in C++, the name IT++ seemed like a good idea at the time. While departments come and go, IT++ have developed a life of its’ own and is now released under the terms of the GNU General Public License (GPL) for you to enjoy.
IT++ is being developed and widely used by researchers who work in the area of communications, both in the industry and at universities. In 2005, 2006 and 2007, IT++ was developed as a part of the European Network of Excellence in Wireless Communications (NEWCOM).
Features:
A short list of the main features of IT++ is given below sorted in different categories. Many more features and functions exist and for these we refer to the reference documentation.
Programming features
* template array and stack container classes
* command line and file argument parser
* timing functions and classes
Basic mathematical features
* templated vector and matrix classes
* sparse vector and matrix classes
* elementary functions on vectors and matrices
* matrix decompositions such as eigenvalue, Cholesky, LU, Schur, SVD, and QR
* solving linear system 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 of polynomials (and inverse operations)
* filter design functions
* fast independent component analysis (fast ICA)
Communications
* modulators (BPSK, PSK, PAM, QAM)
* vector modulators (e.g. for OFDM and MIMO)
* OFDM and CDMA modulators
* pulse shaping filters (including RC and RRC)
* binary symmetric (BSC) and additive white Gaussian Noise (AWGN) channels
* multipath fading channels (both frequency-flat and frequency-selective)
* COST 207, COST 257, and ITU channel models
* Hamming, Extended Golay, and CRC codes
* BCH and Reed-Solomon codes
* convolutional and punctured convolutional codes
* recursive convolutional codes
* turbo codes
* interleavers
Protocol simulation
* event-based simulation classes
* signal and slots for simplified syntax
* TCP clients and servers
* Selective Repeat ARQ
* queue classes
* packet generators
Source coding
* Scalar Quantizer (SQ) and Vector Quantizer (VQ) classes and functions for training of these
* LPC, LSF, and cepstrum parameter calculation for speech processing
* Gaussian Mixture Modeling (GMM)
* reading and saving several different audio file formats
* reading and saving images in PNM format
Other features
* binary file format for most built in IT++ types
* fixed-point scalar, vector and matrix types
Release notes:
New Release
* 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.
[
IT++ full changelog ]
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