An efficient decoding technique for Huffman codes

TL;DR: In this article, a method of decoding a bitstream encoded according to a Huffman coding tree of height H including extracting a first codeword of H bits from the bitstream, modifying the codewords by shifting it by a first shift value, and using this modified codeword to identify using at least a first data structure either a symbol or a second data structure having an associated second offset value and a associated second shift value.

TL;DR: From the results of trial analysis based on manual mathematical and statistical calculations, it is certain that 4-ary/MQ provides high compression results with a very fast process, so it has many benefits if it is used to compress data on local storage media, hosting/cloud and bandwidth.

TL;DR: In this paper, a method of decoding a bitstream encoded according to a Huffman coding tree of height H comprising of extracting a first codeword of H bits from the bitstream, modifying the codewords by shifting it by a first shift value, using this modified codewword to identify using at least a first data structure either a symbol or a second data structure having an associated second offset value and a associated second shift value.

TL;DR: This paper focuses on reducing the size of the tree of Huffman coding and presents a memory efficient technique to store the Huffman tree where in addition to storing symbols, extra bits are stored to represent tree structure resulting total memory requirements for Huffman Tree.

TL;DR: A minimum-redundancy code is one constructed in such a way that the average number of coding digits per message is minimized.

TL;DR: A fast Huffman decoding algorithm is presented, which takes O(log n) time and uses �“ 3n 2 ⌝ + ⌜ n 2 log n ⌙ + 1 memory space, where n is the number of symbols in a Huffman tree.

TL;DR: A memory-efficient array data structure is presented to represent the Huffman tree and a fast Huffman decoding algorithm is presented.

TL;DR: In this article, it was shown that the length of a binary Huffman codeword can be very different from the value -log p/sub i/ for a typical letter.