This paper proposes a universal variable-length lossless compression algorithm based on fountain codes. The compressor concatenates the Burrows-Wheeler block sorting transform (BWT) with a fountain encoder, together with the closed-loop iterative doping algorithm. The decompressor uses a belief propagation algorithm in conjunction with the iterative doping algorithm and the inverse BWT. Linear-time compression/decompression complexity and competitive performance with respect to state-of-the-art compression algorithms are achieved
In this contribution, duals of fountain codes are introduced and their use for lossy source compress...
A grammar transform is a transformation that converts any data sequence to be compressed into a gram...
With compressed bit streams, more configuration information can be stored using the same memory. The...
We address parallel and high-speed lossless data compression. Data compression attempts to reduce th...
We study fountain codes transmitted over the binary-input symmetric-output channel. For channels wit...
A new lossless data compression algorithm based on some characteristics of polynomial codes, namely ...
The aim of this chapter is to present, in appropriate perspective, some selected topics in the theor...
International audienceThis paper describes a family of codes for entropy coding of memoryless source...
A new universal data compression algorithm is described. This algorithm encodes L source symbols at ...
Encoders and decoders for variable-length codes such as Huffman Codes can be costly to implement. Th...
Since its inception, data compression has been practised mostly as an experimental science. Althoug...
The Lawrence algorithm is a universal binary variable-to-fixed length source coding algorithm. Here,...
In [Burrows and Wheeler, 1994] a universal data compression algorithm (BW-algorithm, for short) is d...
This thesis describes Burrow-Wheeler compression algorithm. It focuses on each part of Burrow-Wheele...
Abstract—A joint source-channel coding problem that com-bines the efficient compression of discrete ...
In this contribution, duals of fountain codes are introduced and their use for lossy source compress...
A grammar transform is a transformation that converts any data sequence to be compressed into a gram...
With compressed bit streams, more configuration information can be stored using the same memory. The...
We address parallel and high-speed lossless data compression. Data compression attempts to reduce th...
We study fountain codes transmitted over the binary-input symmetric-output channel. For channels wit...
A new lossless data compression algorithm based on some characteristics of polynomial codes, namely ...
The aim of this chapter is to present, in appropriate perspective, some selected topics in the theor...
International audienceThis paper describes a family of codes for entropy coding of memoryless source...
A new universal data compression algorithm is described. This algorithm encodes L source symbols at ...
Encoders and decoders for variable-length codes such as Huffman Codes can be costly to implement. Th...
Since its inception, data compression has been practised mostly as an experimental science. Althoug...
The Lawrence algorithm is a universal binary variable-to-fixed length source coding algorithm. Here,...
In [Burrows and Wheeler, 1994] a universal data compression algorithm (BW-algorithm, for short) is d...
This thesis describes Burrow-Wheeler compression algorithm. It focuses on each part of Burrow-Wheele...
Abstract—A joint source-channel coding problem that com-bines the efficient compression of discrete ...
In this contribution, duals of fountain codes are introduced and their use for lossy source compress...
A grammar transform is a transformation that converts any data sequence to be compressed into a gram...
With compressed bit streams, more configuration information can be stored using the same memory. The...