What advantage does arithmetic coding offer over huffman coding for data compression?
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One advantage of arithmetic coding over other similar methods of data compression is the convenience of adaptation. Adaptation is the changing of the frequency (or probability) tables while processing the data. The decoded data matches the original data as long as the frequency table in decoding is replaced in the same way and in the same step as in encoding. The synchronization is, usually, based on a combination of symbols occurring during the encoding and decoding process.
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One advantage of arithmetic coding over other similar methods of data compression is the convenience of adaptation. Adaptation is the changing of the frequency (or probability) tables while processing the data. The decoded data matches the original data as long as the frequency table in decoding is replaced in the same way and in the same step as in encoding. The synchronization is, usually, based on a combination of symbols occurring during the encoding and decoding process.
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Arithmetic coding is very helpful and is useful for small alphabet letters with highly skewed probabilities.
Explanation:
- This method a coded word is not only used to represent a specific symbol of the text. Instead, it generates a code for the whole message. Huffman Coding Algorithm is using a static table for the entire coding process, and it is much faster.
- The compression ratio of arithmetic coding is efficient in comparison of Huffman method. Arithmetic coding has a high compression ratio in comparison of Huffman. Both codings is variable-length coding.
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