Gr-trellis updates: turbo decoding

All,

I have checked in several enhancements to gr-trellis
and supporting examples in gnuradio-examples/python/channel-coding:

-Added fsm constructor for generating FSM directly from the
generator matrix of binary convolutional codes (no feedback yet).

-Added functionality to fsm class to compute the best way to
go from any state to any other state (useful for termination)

-Added soft-in-soft-out (SISO) block for turbo processing

-Added a generic interleaver class

-Added turbo decoding examples

A note on speed:
A complete system with Tx/Ch/Rx for a 1/2 CC
executed on a Pentium-4 at 2Ghz shows
a speed of about

683 Kbps for 4-state CC
455 Kbps for 8-state CC
390 Kbps for 16-state CC
133 Kbps for 128-state CC.

Assuming that most of the processing is done in the Viterbi, these
are good lower bounds on the Viterbi performance.

Achilleas

On Wed, Aug 16, 2006 at 05:45:00PM -0400, Achilleas A.
wrote:

All,

I have checked in several enhancements to gr-trellis
and supporting examples in gnuradio-examples/python/channel-coding:

Thanks! Great stuff!

Eric

This forum is not affiliated to the Ruby language, Ruby on Rails framework, nor any Ruby applications discussed here.

| Privacy Policy | Terms of Service | Remote Ruby Jobs