Several enhancements to gr-trellis and gnuradio-examples/python/channel-coding:

-Added fsm constructor for generating FSM directly from the
generator matrix of binary convolutional codes.
-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 turbo decoding examples



git-svn-id: http://gnuradio.org/svn/gnuradio/trunk@3322 221aa14e-8319-0410-a670-987f0aec2ac5

1 files changed, 2 insertions, 2 deletions

diff --git a/gr-trellis/src/lib/trellis_metrics_f.i b/gr-trellis/src/lib/trellis_metrics_f.i
index e808af168..a0dac39f2 100644
--- a/gr-trellis/src/lib/trellis_metrics_f.i
+++ b/gr-trellis/src/lib/trellis_metrics_f.i
@@ -24,12 +24,12 @@
 
 GR_SWIG_BLOCK_MAGIC(trellis,metrics_f);
 
-trellis_metrics_f_sptr trellis_make_metrics_f (const int O, const int D, const std::vector<float> &TABLE, trellis_metric_type_t TYPE);
+trellis_metrics_f_sptr trellis_make_metrics_f (int O, int D, const std::vector<float> &TABLE, trellis_metric_type_t TYPE);
 
 class trellis_metrics_f : public gr_block
 {
 private:
-  trellis_metrics_f (const int O, const int D, const std::vector<float> &TABLE, trellis_metric_type_t TYPE);
+  trellis_metrics_f (int O, int D, const std::vector<float> &TABLE, trellis_metric_type_t TYPE);
 
 public:
   int O () const { return d_O; }