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Performance comparison of Huffman Coding and Double Huffman Coding

Authors: Rabia Arshad; Adeel Saleem; Danista Khan;

Performance comparison of Huffman Coding and Double Huffman Coding

Abstract

Huffman coding [11] is a most popular technique for generating prefix-free codes [7, 10]. It is an efficient algorithm in the field of source coding. It produces the lowest possible number of code symbols of a single source symbol [1]. Huffman coding is a most widely used lossless compression technique [2]. However, there are some limitations that arise in Huffman coding [20, 21]. This method produces a code of few bits for a symbol having high probability of occurrence and large number of bits for a symbol having low probability of occurrence [3]. Instead of this, in Double Huffman Coding when the code word of the symbol has been generated it will be compressed on binary basis. Through this technique a better result be achieved. In this paper we discussed the technique of Huffman Coding and Double Huffman coding and compare their performance analysis.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Average
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