Data compression via block-adaptive Huffman coding is considered. The compressor consecutively processes blocks of N data symbols, estimates source statistics by computing the relative frequencies of each source symbol in the block, and then synthesizes a Huffman code based on these estimates. In order to let the decompressor know which Huffman code is being used, the compressor must begin the transmission of each compressed block with a short preamble or header file. This file is an encoding of the list n = (n(sub 1), n(sub 2)....,n(sub m)), where n(sub i) is the length of the Hufffman codeword associated with the ith source symbol. A simple method of doing this encoding is to individually encode each n(sub i) into a fixed-length binary wo...
The following topics were dealt with: Shannon theory; universal lossless source coding; CDMA; turbo ...
Adaptive data compression techniques can be viewed as consisting of a model specified by a database ...
Huffman codes are a widely used and very effective technique for compressing data. In this paper, we...
The following question about Huffman coding, which is an important technique for compressing data fr...
For a given independent and identically distributed (i.i.d.) source, Huffman code achieves the optim...
AbstractIn this paper, we consider the following question about Huffman coding, which is an importan...
In his classic paper of 1948, Claude Shannon considered the problem of efficiently describing a sour...
[[abstract]]Given a discrete memoryless source X, it is well known that the expected codeword length...
Huffman's algorithm gives optimal codes, as measured by average codeword length, and the redundancy ...
Bibliography: leaf 10.Grant N00014-75-C-1183.Part of author's Ph.D. thesis submitted to the M.I.T. D...
AbstractDynamic or adaptive Huffman coding, proposed by Gallager [1] and extended by Knuth [21, can ...
D.Ing.Due to continuous research there is a large variety of new source and channel coding technolog...
Huffman coding is entropy encoding algorithm used for lossless data compression. It basically uses v...
We present a succinct data structure storing the Huffman encoding that permits sublinear decoding in...
A text written using symbols from a given alphabet can be compressed using the Huffman code, which m...
The following topics were dealt with: Shannon theory; universal lossless source coding; CDMA; turbo ...
Adaptive data compression techniques can be viewed as consisting of a model specified by a database ...
Huffman codes are a widely used and very effective technique for compressing data. In this paper, we...
The following question about Huffman coding, which is an important technique for compressing data fr...
For a given independent and identically distributed (i.i.d.) source, Huffman code achieves the optim...
AbstractIn this paper, we consider the following question about Huffman coding, which is an importan...
In his classic paper of 1948, Claude Shannon considered the problem of efficiently describing a sour...
[[abstract]]Given a discrete memoryless source X, it is well known that the expected codeword length...
Huffman's algorithm gives optimal codes, as measured by average codeword length, and the redundancy ...
Bibliography: leaf 10.Grant N00014-75-C-1183.Part of author's Ph.D. thesis submitted to the M.I.T. D...
AbstractDynamic or adaptive Huffman coding, proposed by Gallager [1] and extended by Knuth [21, can ...
D.Ing.Due to continuous research there is a large variety of new source and channel coding technolog...
Huffman coding is entropy encoding algorithm used for lossless data compression. It basically uses v...
We present a succinct data structure storing the Huffman encoding that permits sublinear decoding in...
A text written using symbols from a given alphabet can be compressed using the Huffman code, which m...
The following topics were dealt with: Shannon theory; universal lossless source coding; CDMA; turbo ...
Adaptive data compression techniques can be viewed as consisting of a model specified by a database ...
Huffman codes are a widely used and very effective technique for compressing data. In this paper, we...