Technical Program

Paper Detail

Paper Title Unrestricted Generalized Column Distances: A wider definition
Paper IdentifierFR2.R9.3
Authors Sara Diaz Cardell, Unicamp, Brazil; Diego Napp, Universidad de Alicante, Spain; Marcelo Firer, Unicamp, Brazil
Session Packings and Combinatorics
Location Pontoise, Level 5
Session Time Friday, 12 July, 11:40 - 13:00
Presentation Time Friday, 12 July, 12:20 - 12:40
Manuscript  Click here to download the manuscript
Abstract In this work we introduce the concept of Unrestricted Generalized Column Distance (UGCD) for convolutional codes. This is the concept equivalent to the generalized Hamming weights for block codes. We show that the hierarchy of UGCD is strictly increasing and show how to compute it of parity-check matrix in general form. We also provide a way to compute it out of a systematic parity-check matrix.