State Space Realizations and Monomial Equivalence for Convolutional Codes

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We will study convolutional codes with the help of state space realizations. It will be shown that two such minimal realizations belong to the same code if and only if they are equivalent under the full state feedback group. This result will be used in order to prove that two codes with positive Forney indices are monomially equivalent if and only if they share the same adjacency matrix. The adjacency matrix counts in a detailed way the weights of all possible outputs and thus contains full information about the weights of the codewords in the given code.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

State Space Realizations and Monomial Equivalence for Convolutional Codes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with State Space Realizations and Monomial Equivalence for Convolutional Codes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and State Space Realizations and Monomial Equivalence for Convolutional Codes will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-69400

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.