We here consider a theoretical evaluation of data compression algorithms based on the Burrows Wheeler transform (BWT). The main contributions include a variety of very simple new techniques for BWT-based universal lossless source coding on finite-memory sources and a set of new rate of convergence results for BWT-based source codes. The result is a theoretical validation and quantification of the earlier experimental observation that BWT-based lossless source codes give performance better than that of Ziv-Lempel-style codes and almost as good as that of prediction by partial mapping (PPM) algorithms
The Burrows-Wheeler transform is a technique used for the lossless compression of data. It is the al...
A new lossy variant of the Fixed-Database Lenipel-Ziv coding algorithm for encoding at a fixed disto...
We consider a novel variant of lossy coding in which the distortion measure is revealed only to the ...
The Burrows Wheeler transform (1994) is a reversible sequence transformation used in a variety of pr...
1 Introduction It seems that there is no limit to the amount of data we need to store in ourcomputer...
Abstract. In this paper we describe the Burrows-Wheeler Transform (BWT) a completely new approach to...
AbstractAfter a general description of the Burrows–Wheeler transform and a brief survey of recent wo...
This paper introduces a new data compression algorithm. The goal underlying this new code design is ...
Everyone can get into a situation when it is necessary to reduce the size of some file. For that pur...
AbstractIn this paper, we present a new technique for worst-case analysis of compression algorithms ...
Data compression is one of the most important aspects in our daily life. One of the most popular met...
In [Burrows and Wheeler, 1994] a universal data compression algorithm (BW-algorithm, for short) is d...
In this paper, we look at the problem of implementing high-throughput Joint SourceChannel (JSC) codi...
The Burrows-Wheeler Transformation (BWT) is a text transformation algorithm originally designed to i...
This work combines a new fast context-search algorithm with the lossless source coding models of PPM...
The Burrows-Wheeler transform is a technique used for the lossless compression of data. It is the al...
A new lossy variant of the Fixed-Database Lenipel-Ziv coding algorithm for encoding at a fixed disto...
We consider a novel variant of lossy coding in which the distortion measure is revealed only to the ...
The Burrows Wheeler transform (1994) is a reversible sequence transformation used in a variety of pr...
1 Introduction It seems that there is no limit to the amount of data we need to store in ourcomputer...
Abstract. In this paper we describe the Burrows-Wheeler Transform (BWT) a completely new approach to...
AbstractAfter a general description of the Burrows–Wheeler transform and a brief survey of recent wo...
This paper introduces a new data compression algorithm. The goal underlying this new code design is ...
Everyone can get into a situation when it is necessary to reduce the size of some file. For that pur...
AbstractIn this paper, we present a new technique for worst-case analysis of compression algorithms ...
Data compression is one of the most important aspects in our daily life. One of the most popular met...
In [Burrows and Wheeler, 1994] a universal data compression algorithm (BW-algorithm, for short) is d...
In this paper, we look at the problem of implementing high-throughput Joint SourceChannel (JSC) codi...
The Burrows-Wheeler Transformation (BWT) is a text transformation algorithm originally designed to i...
This work combines a new fast context-search algorithm with the lossless source coding models of PPM...
The Burrows-Wheeler transform is a technique used for the lossless compression of data. It is the al...
A new lossy variant of the Fixed-Database Lenipel-Ziv coding algorithm for encoding at a fixed disto...
We consider a novel variant of lossy coding in which the distortion measure is revealed only to the ...