How to implement the Linear Block Codes ?

Hello,
I have a voice signal which I have quantized and applied Huffman encoding and now I need to implement the Linear block codes. After the huffman encoding I have the index values as a 40000x1 double matrix (which needs to be coded) and this is the code that I use:
symbols = [1:17]; % Distinct symbols that data source can produce
p = prob_y; % Probability distribution
[dict,avglen] = huffmandict(symbols,p); % Create dictionary.
comp = huffmanenco(index,dict);
code = encode(index,n,k,'linear/decimal',genmat); %Linear Block codes
Here I don't really know which values to choose for n and k to calculate genmat(generator matrix).My index matrix has the dimensions of 40000x1 double. I would be glad if you could help on that. Thanks!

1 Comment

You use "index" without calculating it.
It appears that your index values do not depend on the huffman encoding.
Are you intended to LBC the index values or the huffman-compressed data?

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Answers (1)

poly = Cyclpoly(7,4 , 'all');
poly=
1011;
1101;
genpoly = (1101);
[parmat , genmat]=Cyclgen (7 ,genpoly, 'non sys');

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Asked:

on 11 Jan 2014

Answered:

on 1 Apr 2022

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