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A parallel scheme for implementing multialphabet arithmetic coding in high-speed programmable hardware

Authors: S. Mahapatra; K. Singh;

A parallel scheme for implementing multialphabet arithmetic coding in high-speed programmable hardware

Abstract

In this paper, a scheme is proposed for parallel-pipelined implementation of the multialphabet arithmetic-coding algorithm used in lossless data compression. Using this scheme, it is possible to parallelize both the encoding and decoding operations used respectively in data compression and decompression. The compression performance of the proposed implementation for both order 0 and order 1 models have been evaluated and compared with existing sequential implementations in terms of compression ratios as well as the execution time using the Canterbury corpus benchmark set of files. The proposed scheme also facilitates hardware realisation of the respective modules and hence is suitable for integration into embedded microprocessor systems, an important area where lossless data compression is applied.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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