In his work on the information content of English text in 1951, Shannon described a method of recoding the input text, a technique which has apparently lain dormant for the ensuing 45 years. Whereas traditional compressors exploit symbol frequencies and symbol contexts, Shannon's method adds the concept of "symbol ranking", as in `the next symbol is the one third most likely in the present context'. While some other recent compressors can be explained in terms of symbol ranking, few make explicit reference to the concept. This report describes an implementation of Shannon's method and shows that it forms the basis of a good text compressor
The deep connection between the Burrows-Wheeler transform (BWT) and the socalled rank and select dat...
A syllablebased compression is a new method of a text compression, offering interesting tradeoff bet...
Text compression methods where the original texts are directly mapped into binary domain are attract...
In his work on the information content of English text in 1951, Shannon described a method of recodi...
Symbol ranking compression algorithms are known to achieve a very good compression ratio. Off-line s...
The goal of this paper is to show the dependency of the entropy of English text on the subject of th...
This study aims to implement the Shannon-fano Adaptive data compression algorithm on characters as i...
Abstract. It is well known that text compression can be achieved by predict-ing the next symbol in t...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...
Text Image Compression Based on the Formation and Classification of Vertical Elements of a Row in th...
The present chapter describes a few standard algorithms used for processing texts. They apply, for.....
The task of finding a criterion allowing to distinguish a text from an arbitrary set of words is rat...
AbstractOperations rank and select over a sequence of symbols have many applications to the design o...
Shannon estimates the entropy of the set of words in printed English as 11.82 bits per word. As this...
UnrestrictedSymbols are the basis of many forms of human communication and are constantly being deve...
The deep connection between the Burrows-Wheeler transform (BWT) and the socalled rank and select dat...
A syllablebased compression is a new method of a text compression, offering interesting tradeoff bet...
Text compression methods where the original texts are directly mapped into binary domain are attract...
In his work on the information content of English text in 1951, Shannon described a method of recodi...
Symbol ranking compression algorithms are known to achieve a very good compression ratio. Off-line s...
The goal of this paper is to show the dependency of the entropy of English text on the subject of th...
This study aims to implement the Shannon-fano Adaptive data compression algorithm on characters as i...
Abstract. It is well known that text compression can be achieved by predict-ing the next symbol in t...
Dictionary-based compression algorithms include a parsing strategy to transform the input text into ...
Text Image Compression Based on the Formation and Classification of Vertical Elements of a Row in th...
The present chapter describes a few standard algorithms used for processing texts. They apply, for.....
The task of finding a criterion allowing to distinguish a text from an arbitrary set of words is rat...
AbstractOperations rank and select over a sequence of symbols have many applications to the design o...
Shannon estimates the entropy of the set of words in printed English as 11.82 bits per word. As this...
UnrestrictedSymbols are the basis of many forms of human communication and are constantly being deve...
The deep connection between the Burrows-Wheeler transform (BWT) and the socalled rank and select dat...
A syllablebased compression is a new method of a text compression, offering interesting tradeoff bet...
Text compression methods where the original texts are directly mapped into binary domain are attract...