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

• templated array and stack container classes
• input and file argument parser
• timing functions and classes

Basic mathematical features

• templated vector and matrix classes
• sparse vectors and matrix classes
• elementary functions on vectors and matrices
• statistics classes and functions
• 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 (both scalar and vector and matrices)
• integration of 1-dimensional functions
• unconditional nonlinear optimization (Quasi-Newton search)

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
• reading and saving several different audiofile formats
• reading and saving images in PNM format

Other features

• binary file format for most built in and IT++ types
• fixed-point scalar, vector and matrix types