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This a framework to test new ideas in transmission technology. Actual development is a LDPC-coder in

convolution
===========

This module does a convolutional encoding/decoding.
The code can be chosen according to the following parameters
n Number of transmitted bits per k data bits
k Number of data bits per n transmitted bits
m Number of memory registers
polys Array of polynome definition. The number of polynomes must be equal to n



ldpc
====

 LDPC codes are Low Density Parity Check codes used in favor of
convolutional codes. They are quite experimental and not widely
tested. Furthermore this module is not optimsed at all!



ldpc_2fold
==========

 LDPC codes are Low Density Parity Check codes used in favor of
convolutional codes. Usually they are calculated on a SISO channel.
This module tries to enhance the case for a 2x2 MIMO channel. The
theory has been written down by Nicolae Chiurtu.



ldpc_2fold_general
==================

 LDPC codes are Low Density Parity Check codes used in favor of
convolutional codes. Usually they are calculated on a SISO channel.
This module tries to enhance the case for a 4x4 MIMO channel. The
theory has been written down by Nicolae Chiurtu.



ldpc_siso_ics
=============

 LDPC codes are Low Density Parity Check codes used in favor of
convolutional codes. They are quite experimental and not widely
tested. Furthermore this module is not optimsed at all!
 This has been adapted a bit to the ICS-cards



ldpc_soft
=========

This LDPC-decoder is written to take successive symbols from
two input-streams with two independant SNRs. Additionaly,
the output of the decoder doesn't have a hard-decision, so that
it's most suited to fit into a successive interference cancellation
environment.



ldpc_sse2
=========

This is the optimised version of the message-passing LDPC-decoder.
SSE2 has been used to speed up the message-passing.



spread
======

Spreading is a simple repetition-code that is used either in a 
multi-user scenario or for simple coding.