Fast and Efficient Entropy Compression of ALICE Data using ANS Coding

Efficient Context-Based Entropy Coding Lossy Wavelet Image Compression

Information Theory: Data Compression, Channel Coding, Entropy, and Mutual Information

This report gives an insight about two major aspects of information theory, including data compression and channel coding. It discusses the simulations results obtained using MATLAB from the information theory view point. It also defines these aspects by using the definitions of entropy and mutual information which reflects the optimum data compression could be obtained and the ultimate transmi...

Fast Exponentiation Using Data Compression

We present the first exponentiation algorithm that uses the entropy of the source of the exponent to improve on existing exponentiation algorithms when the entropy is smaller than (1 + w(S)/l(S)), where w(S) is the Hamming weight of the exponent, and l(S) is its length. For entropy 1 it is comparable to the best-known general purpose exponentiation algorithms.

A New Entropy Coding Technique for Data Compression

We present a novel entropy coding technique that is based on recursive interleaving of variable-to-variable-length binary source codes. An entropy coder using this technique is a general purpose module that can be used in a wide variety of data compression algorithms. The encoding process is adaptable in that each bit to be encoded has an associated probability-of-zero estimate that may depend ...

A fast and efficient lossless data-compression method

This paper describes an online lossless datacompression method using adaptive arithmetic coding. To achieve good compression efficiency, we employ an adaptive fuzzy-tuning modeler that applies fuzzy inference to deal efficiently with the problem of conditional probability estimation. In comparison with other lossless coding schemes, the compression results of the proposed method are good and sa...