X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?p=CreaPhase.git;a=blobdiff_plain;f=octave_packages%2Fcommunications-1.1.1%2Fconvenc.m;fp=octave_packages%2Fcommunications-1.1.1%2Fconvenc.m;h=ccbc222cca830593e048c55614b223e37f26bb15;hp=0000000000000000000000000000000000000000;hb=f5f7a74bd8a4900f0b797da6783be80e11a68d86;hpb=1705066eceaaea976f010f669ce8e972f3734b05 diff --git a/octave_packages/communications-1.1.1/convenc.m b/octave_packages/communications-1.1.1/convenc.m new file mode 100644 index 0000000..ccbc222 --- /dev/null +++ b/octave_packages/communications-1.1.1/convenc.m @@ -0,0 +1,65 @@ +## Copyright (C) 2012 Tony Richardson +## +## This program is free software; you can redistribute it and/or modify it under +## the terms of the GNU General Public License as published by the Free Software +## Foundation; either version 3 of the License, or (at your option) any later +## version. +## +## This program is distributed in the hope that it will be useful, but WITHOUT +## ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or +## FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more +## details. +## +## You should have received a copy of the GNU General Public License along with +## this program; if not, see . + +## -*- texinfo -*- +## @deftypefn {Function File} {@var{x} =} convenc (@var{m}, @var{G}, @var{k}) +## Compute output of an (n, @var{k}, L) convolutional encoder with vector input +## @var{m} and matrix of generator polynomials @var{G}. +## +## The input vector @var{m} can be of arbitrary length. @var{G} is a matrix with n rows +## and @var{k}*(L+1) columns. The rows of @var{G} are the generator polynomials for each +## of the n output bits (per @var{k} input bits). +## +## The output is a vector whose length is n*floor([length(@var{m})+@var{k}*(L+1)-1]/@var{k}). +## If unspecified, @var{k} defaults to 1. +## +## Example 1: Compute the output from a (2, 1, 2) convolutional encoder +## @example +## @group +## m = [ 1 1 0 1 1 1 0 0 1 0 0 0]; +## g1 = [1 1 1]; +## g2 = [1 0 1]; +## convenc (m, [g1; g2]) +## @result{} [1 1 0 1 0 1 0 0 0 1 1 0 0 1 1 1 1 1 1 0 1 1 0 0 0 0 0 0] +## @end group +## @end example +## +## Example 2: Compute the output from a (3, 2, 1) convolutional encoder +## @example +## @group +## m = [0 1 1 0 0 0 1 1 ]; +## g1 = [1 0 1 1]; +## g2 = [1 1 0 1]; +## g3 = [1 0 1 0]; +## convenc (m, [g1; g2; g3], 2) +## @result{} [1 1 1 1 1 1 1 1 0 1 0 1] +## @end group +## @end example +## +## @strong{Caution:}: this function is not compatible with @sc{matlab}'s convenc(). +## @end deftypefn + +function x = convenc (m, G, k = 1) + if (nargin < 2 || nargin > 3) + print_usage; + endif + + # Use conv2 to do repeated 1d convolutions of m with each row of G. + # rem is used to transform the standard convolution result to one + # which uses modulo-2 addition. Only cols with index a mult. of k + # are in the actual enc. output + + x = rem(conv2(1, m(:)', G),2)(:,!rem(1:numel(m),k))(:)'; +endfunction