Average code length and entropy
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Hello,
I have an uin16 vector and I got the Huffman code from the built-in functions in MATLAB. The thing is that the entropy of this file is different from the average code length that I've got from the Huffman code. Isn't the average code length supposed to be equal to the entropy of the file?
Thanks.
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Anshuman
on 24 Aug 2024 at 18:16
Hi,
That's not always true, Huffman coding does not always achieve the entropy limit because it works with integer code lengths. Since Huffman codes must be whole numbers of bits, the average length can exceed the entropy slightly. Entropy represents the ideal case which might involve fractional bits. Also, If the source has a non-uniform distribution or symbols with probabilities that are not powers of two, the Huffman code's average length will typically be greater than the entropy.
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