In signal processing, data compression, source coding,  or bit-rate reduction involves encoding information using fewer bits than the original representation. 
In his 1948 paper, ``A Mathematical Theory of Communication,'' Claude E. Shannon formulated the theory of data compression. Shannon established that there is a ...
In data compression, a universal code for integers is a prefix code that maps the positive integers onto binary codewords, with the additional property that whatever ...
Arithmetic coding (AC) is a special kind of entropy coding. Unlike Huffman coding, arithmetic coding doesn´t use a discrete number of bits for each symbol to compress.
Data representing the image of an original picture having high resolution are first acquired. The data are then processed in accordance with a blurring function ...
Data Compression 1. FUNDAMENTAL CONCEPTS. ... In the area of data transmission, Huffman coding has been passed over for years in favor of block-block codes, ...
Introduction to Data Compression∗ Guy E. Blelloch Computer Science Department Carnegie Mellon University blellochcs.cmu.edu January 31, 2013 Contents
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression Yi Ma, Senior Member, IEEE, Harm Derksen, Wei Hong, Member, IEEE, and John Wright ...
In this paper, based on ideas from lossy data coding and compression, we present a simple but effective technique for segmenting multivariate mixed data that are ...
Data Compression . When transmitting digital data, we find that frequently we can't send our information as quickly as we would like. Specific limits, such as Shannon ...