📄 cnv_encd.m
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function output=cnv_encd(g,k0,input)% cnv_encd(g,k0,input)% determines the output sequence of a binary convolutional encoder% g is the generator matrix of the convolutional code% with n0 rows and l*k0 columns. Its rows are g1,g2,...,gn.% k0 is the number of bits entering the encoder at each clock cycle.% input The binary input seq.% check to see if extra zero padding is necessaryif rem(length(input),k0) > 0 input=[input,zeros(size(1:k0-rem(length(input),k0)))];endn=length(input)/k0;% check the size of matrix gif rem(size(g,2),k0) > 0 error('Error, g is not of the right size.')end% determine l and n0l=size(g,2)/k0;n0=size(g,1);% add extra zerosu=[zeros(size(1:(l-1)*k0)),input,zeros(size(1:(l-1)*k0))];% generate uu, a matrix whose columns are the contents of % conv. encoder at various clock cycles.u1=u(l*k0:-1:1);for i=1:n+l-2 u1=[u1,u((i+l)*k0:-1:i*k0+1)];enduu=reshape(u1,l*k0,n+l-1);% determine the outputoutput=reshape(rem(g*uu,2),1,n0*(l+n-1));
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