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adaptive-huffman-coding icon adaptive-huffman-coding

Adaptive Huffman coding (also called Dynamic Huffman coding) is an adaptive coding technique based on Huffman coding. It permits building the code as the symbols are being transmitted, having no initial knowledge of source distribution, that allows one-pass encoding and adaptation to changing conditions in data.

bigint icon bigint

Implementation for Big Int Class in c++ can handle Big Number

ga-rts icon ga-rts

On arrival scheduling of real-time precedence constrained tasks on multi-processor systems using genetic algorithm

lz77 icon lz77

implementation for LZ77 which is lossless data compression algorithms published in papers by Abraham Lempel and Jacob Ziv in 1977

lz78 icon lz78

LZ77 and LZ78 are the two lossless data compression algorithms published in papers by Abraham Lempel and Jacob Ziv in 1977[1] and 1978.[2] They are also known as LZ1 and LZ2 respectively.[3] These two algorithms form the basis for many variations including LZW, LZSS, LZMA and others.

lzw icon lzw

implementation for LZW Lempel–Ziv–Welch (LZW) is a universal lossless data compression algorithm created by Abraham Lempel, Jacob Ziv, and Terry Welch. It was published by Welch in 1984 an impli

quantization-image-processing- icon quantization-image-processing-

Quantization, involved in image processing, is a lossy compression technique achieved by compressing a range of values to a single quantum value. When the number of discrete symbols in a given stream is reduced, the stream becomes more compressible. For example, reducing the number of colors required to represent a digital image makes it possible to reduce its file size. Specific applications include DCT data quantization in JPEG and DWT data quantization in JPEG 2000.

standard-huffman icon standard-huffman

In computer science and information theory, a Huffman code is an optimal prefix code found using the algorithm developed by David A. Huffman while he was a Ph.D. student at MIT, and published in the 1952 paper "A Method for the Construction of Minimum-Redundancy Codes".

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