Many different data compression techniques currently exist. Each has its own advantages and disadvantages. Combining (pipelining) multiple data compression techniques could achieve better compression rates than is possible with either technique individually. This paper proposes a pipelining technique and investigates the characteristics of two example pipelining algorithms. Their performance is compared with other well-known compression techniques
Since its inception, data compression has been practised mostly as an experimental science. Althoug...
We investigate the feasibility of using instruction compression at some level in a multi-level memor...
A challenge in the design of high performance computer systems is how to transferdata efficiently be...
Many different data compression techniques currently exist. Each has its own advantages and disadvan...
Pipelining is a very effective way to increase the thruput of a process. It has been used successful...
This paper surveys a variety of data compression methods spanning almost forty years of research, fr...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Abstract: Data compression has important application in the field of file storage and distributed sy...
Data compression is a technique to represent data using less number of bits than original data. Ther...
Fast data compression is necessary for efficient use of computer storage and transmission line bandw...
Abstract:- This article deals with the problem of textual data compression speed up by dividing a bi...
In this paper, we are evaluating the performance of Huffman and Run Length Encoding compression algo...
Data compression is a promising scheme to increase memory system capacity, performance and energy a...
discussed several computationally feasible algorithms in detail with the goal of achieving "the...
Data compression schemes remove data redundancy in communicated and stored data and increase the eff...
Since its inception, data compression has been practised mostly as an experimental science. Althoug...
We investigate the feasibility of using instruction compression at some level in a multi-level memor...
A challenge in the design of high performance computer systems is how to transferdata efficiently be...
Many different data compression techniques currently exist. Each has its own advantages and disadvan...
Pipelining is a very effective way to increase the thruput of a process. It has been used successful...
This paper surveys a variety of data compression methods spanning almost forty years of research, fr...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Abstract: Data compression has important application in the field of file storage and distributed sy...
Data compression is a technique to represent data using less number of bits than original data. Ther...
Fast data compression is necessary for efficient use of computer storage and transmission line bandw...
Abstract:- This article deals with the problem of textual data compression speed up by dividing a bi...
In this paper, we are evaluating the performance of Huffman and Run Length Encoding compression algo...
Data compression is a promising scheme to increase memory system capacity, performance and energy a...
discussed several computationally feasible algorithms in detail with the goal of achieving "the...
Data compression schemes remove data redundancy in communicated and stored data and increase the eff...
Since its inception, data compression has been practised mostly as an experimental science. Althoug...
We investigate the feasibility of using instruction compression at some level in a multi-level memor...
A challenge in the design of high performance computer systems is how to transferdata efficiently be...