Encoders and decoders for variable-length codes such as Huffman Codes can be costly to implement. This paper describes low-cost encoder and decoder for binary variable-length codes that is simple to implement when decoding speed is not an issue. Keywords: encoder, decoder, variable-length code, Huffman code, tree 1. Introduction Variable-length Huffman codes [1] are widely used in data compression, e.g., in the Unix pack command or as a low-level part of the popular JPEG image data compression scheme. Encoding and decoding variable-length codes presents an important problem in an environment dominated by the fixed word length data representation in modern computers. For a given variable-length code, an encoder must thus convert some fixe...
Digital compression for reducing data size is important because of bandwidth restriction. Compressio...
Most of the work done in the field of machine code compression is for fixed length instruction encod...
Abstract—A joint source-channel coding problem that com-bines the efficient compression of discrete ...
Abstract — A codec (encoder-decoder) design for interfacing variable-length and fixed-length data co...
D.Ing.Due to continuous research there is a large variety of new source and channel coding technolog...
This paper surveys the theoretical literature on fixed-to-variable-length lossless source code trees...
Variable length coding is a widely used technique in digital video compression systems. The main ide...
Huffman coding is entropy encoding algorithm used for lossless data compression. It basically uses v...
The aim of this chapter is to present, in appropriate perspective, some selected topics in the theor...
This paper proposes a universal variable-length lossless compression algorithm based on fountain cod...
[[abstract]]This paper introduces a Huffman decoding algorithm based on the single-side growing Huff...
Huffman coding is one of a most famous entropy encoding methods for lossless data compression [16]. ...
T-Codes are a class of variable-length codes. Their self-synchronization properties are useful in co...
A code converter has a network of logic circuits connected in reverse binary tree fashion with logic...
Huffman encoding and arithmetic coding algorithms have shown great potential in the field of image c...
Digital compression for reducing data size is important because of bandwidth restriction. Compressio...
Most of the work done in the field of machine code compression is for fixed length instruction encod...
Abstract—A joint source-channel coding problem that com-bines the efficient compression of discrete ...
Abstract — A codec (encoder-decoder) design for interfacing variable-length and fixed-length data co...
D.Ing.Due to continuous research there is a large variety of new source and channel coding technolog...
This paper surveys the theoretical literature on fixed-to-variable-length lossless source code trees...
Variable length coding is a widely used technique in digital video compression systems. The main ide...
Huffman coding is entropy encoding algorithm used for lossless data compression. It basically uses v...
The aim of this chapter is to present, in appropriate perspective, some selected topics in the theor...
This paper proposes a universal variable-length lossless compression algorithm based on fountain cod...
[[abstract]]This paper introduces a Huffman decoding algorithm based on the single-side growing Huff...
Huffman coding is one of a most famous entropy encoding methods for lossless data compression [16]. ...
T-Codes are a class of variable-length codes. Their self-synchronization properties are useful in co...
A code converter has a network of logic circuits connected in reverse binary tree fashion with logic...
Huffman encoding and arithmetic coding algorithms have shown great potential in the field of image c...
Digital compression for reducing data size is important because of bandwidth restriction. Compressio...
Most of the work done in the field of machine code compression is for fixed length instruction encod...
Abstract—A joint source-channel coding problem that com-bines the efficient compression of discrete ...