A new class of VLSI architectures for data transformation of tree-based codes is proposed. The focus is on transformation functions used for data compression and decompression. The encoding algorithm is based on a pipeline architecture and can generate the code bits in parallel. The algorithms use the principle of propagation of a token in a reverse binary tree constructed from the original codes. The design approaches are applicable to any binary codes, although static Huffman code is used as an illustration. A new hardware algorithm for generating adaptive Huffman codes is proposed and a VLSI architecture for implementing the algorithm is described. The high speed of the new algorithms ensures that data transformation is done as data is b...
Huffman coding is entropy encoding algorithm used for lossless data compression. It basically uses v...
A common limitation to performance in data acquisition systems is storage of the collected data. Com...
Huffman coding is one of a most famous entropy encoding methods for lossless data compression [16]. ...
In this paper, we propose a new class of VLSI architectures for data transformation of tree-based co...
Data compression is the reduction of redundancy in data representation in order to decrease storage ...
In this paper, we describe the architecture and design of a CMOS VLSI chip for data compression and ...
Data compression methods are used to reduce the redundancy in data representation in order to decrea...
A code converter has a network of logic circuits connected in reverse binary tree fashion with logic...
[[abstract]]Arithmetic coding is an attractive technique for lossless data compression but it tends ...
Digital compression for reducing data size is important because of bandwidth restriction. Compressio...
Several families of reconfigurable tree-like architectures, suitable for VLSI implementation, are pr...
Abstract: This work will aim to describe hardware implementations of static and dynamic Huffman enco...
The paper presents the modification of Adaptive Huffman Coding method – lossless data compression te...
Summary form only given. A scheme for code compression that has a fast decompression algorithm, whic...
In this paper, we present a functional description of a VLSI chip aimed at reducing the cost of data...
Huffman coding is entropy encoding algorithm used for lossless data compression. It basically uses v...
A common limitation to performance in data acquisition systems is storage of the collected data. Com...
Huffman coding is one of a most famous entropy encoding methods for lossless data compression [16]. ...
In this paper, we propose a new class of VLSI architectures for data transformation of tree-based co...
Data compression is the reduction of redundancy in data representation in order to decrease storage ...
In this paper, we describe the architecture and design of a CMOS VLSI chip for data compression and ...
Data compression methods are used to reduce the redundancy in data representation in order to decrea...
A code converter has a network of logic circuits connected in reverse binary tree fashion with logic...
[[abstract]]Arithmetic coding is an attractive technique for lossless data compression but it tends ...
Digital compression for reducing data size is important because of bandwidth restriction. Compressio...
Several families of reconfigurable tree-like architectures, suitable for VLSI implementation, are pr...
Abstract: This work will aim to describe hardware implementations of static and dynamic Huffman enco...
The paper presents the modification of Adaptive Huffman Coding method – lossless data compression te...
Summary form only given. A scheme for code compression that has a fast decompression algorithm, whic...
In this paper, we present a functional description of a VLSI chip aimed at reducing the cost of data...
Huffman coding is entropy encoding algorithm used for lossless data compression. It basically uses v...
A common limitation to performance in data acquisition systems is storage of the collected data. Com...
Huffman coding is one of a most famous entropy encoding methods for lossless data compression [16]. ...