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itpp::EXIT Class Reference

EXtrinsic Information Transfer (EXIT) chart. More...

#include <itpp/comm/exit.h>

Public Member Functions

double apriori_mutual_info (const double &in_sigma2A, const double &lim=100)
 Computes the a priori mutual information.
itpp::vec generate_apriori_info (const itpp::bvec &bits)
 Generates a priori information assuming a Gaussian distribution of the a priori information.
double extrinsic_mutual_info (const itpp::vec &obs, const itpp::bvec &cond, const int &N=100)
 Computes the extrinsic mutual information.

Detailed Description

EXtrinsic Information Transfer (EXIT) chart.

Computes the A priori Mutual Information assuming a Gaussian distribution of the a priori information and the Extrinsic Mutual Information between the emitted bits and their extrinsic information


Reference: Stephan ten Brink, ''Convergence behavior of iteratively decoded parallel concatenated codes,`` IEEE Transactions on Communications, oct. 2001

Definition at line 55 of file exit.h.

Member Function Documentation

double itpp::EXIT::apriori_mutual_info ( const double &  in_sigma2A,
const double &  lim = 100 

Computes the a priori mutual information.

It is assumed that the a priori information has a Gaussian distribution

in_sigma2Avariance of the a priori information
lim[-lim,+lim] is the integration interval (theoretically it should be [-inf,+inf])

Definition at line 61 of file exit.h.

References itpp::quad().

itpp::vec itpp::EXIT::generate_apriori_info ( const itpp::bvec &  bits)

Generates a priori information assuming a Gaussian distribution of the a priori information.

The variance of the a priori information must be already initialized through EXIT::apriori_mutual_info function. The information generated in this way is used sometimes as intrinsic information at the SISO module input.

Definition at line 72 of file exit.h.

References itpp::BPSK::modulate_bits(), itpp::randn(), and itpp::sqrt().

double itpp::EXIT::extrinsic_mutual_info ( const itpp::vec &  obs,
const itpp::bvec &  cond,
const int &  N = 100 

Computes the extrinsic mutual information.

The conditional Probability Density Function (PDF) of the extrinsic information is estimated using the histogram of the extrinsic information and the knowledge of the emitted bits corresponding to the extrinsic information.

obsextrinsic information obtained from the SISO module output
condemitted bits corresponding to the extrinsic information
Nnumber of subintervals used to compute the histogram

Definition at line 40 of file exit.cpp.

References itpp::elem_div(), itpp::elem_mult(), itpp::find(), itpp::Histogram< Num_T >::get_pdf(), itpp::log2(), itpp::max(), itpp::min(), itpp::Histogram< Num_T >::reset(), itpp::sum(), and itpp::Histogram< Num_T >::update().

The documentation for this class was generated from the following files:
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