Comparative data compression techniques and multi-compression results

Data compression is very necessary in business data processing, because of the cost savings that it offers and the large volume of data manipulated in many business applications. It is a method or system for transmitting a digital image (i.e., an array of pixels) from a digital data source to...

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Main Authors: Ibrahimy, Muhammad Ibn, Motakabber, S. M. A.
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:http://irep.iium.edu.my/33457/
http://irep.iium.edu.my/33457/
http://irep.iium.edu.my/33457/1/2165_Comparative_data_compression_techniques_and_multi-compression_results.pdf
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spelling iium-334572013-12-16T03:14:22Z http://irep.iium.edu.my/33457/ Comparative data compression techniques and multi-compression results Ibrahimy, Muhammad Ibn Motakabber, S. M. A. T Technology (General) Data compression is very necessary in business data processing, because of the cost savings that it offers and the large volume of data manipulated in many business applications. It is a method or system for transmitting a digital image (i.e., an array of pixels) from a digital data source to a digital data receiver. More the si ze of the data be smaller, it provides better transmission speed and saves time. In this communic ation, we always want to transmit data efficiently and noise freely. This paper will provi de some compression techniques for lossless text type data compression and comparative result o f multiple and single compression, that will help to find out better compression output and to dev elop compression algorithms. 2013-07-02 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/33457/1/2165_Comparative_data_compression_techniques_and_multi-compression_results.pdf Ibrahimy, Muhammad Ibn and Motakabber, S. M. A. (2013) Comparative data compression techniques and multi-compression results. In: 5th International Conference on Mechatronics (ICOM'13), 2 – 4 July 2013, Kuala Lumpur, Malaysia. http://www.iium.edu.my/icom2013/13/
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Ibrahimy, Muhammad Ibn
Motakabber, S. M. A.
Comparative data compression techniques and multi-compression results
description Data compression is very necessary in business data processing, because of the cost savings that it offers and the large volume of data manipulated in many business applications. It is a method or system for transmitting a digital image (i.e., an array of pixels) from a digital data source to a digital data receiver. More the si ze of the data be smaller, it provides better transmission speed and saves time. In this communic ation, we always want to transmit data efficiently and noise freely. This paper will provi de some compression techniques for lossless text type data compression and comparative result o f multiple and single compression, that will help to find out better compression output and to dev elop compression algorithms.
format Conference or Workshop Item
author Ibrahimy, Muhammad Ibn
Motakabber, S. M. A.
author_facet Ibrahimy, Muhammad Ibn
Motakabber, S. M. A.
author_sort Ibrahimy, Muhammad Ibn
title Comparative data compression techniques and multi-compression results
title_short Comparative data compression techniques and multi-compression results
title_full Comparative data compression techniques and multi-compression results
title_fullStr Comparative data compression techniques and multi-compression results
title_full_unstemmed Comparative data compression techniques and multi-compression results
title_sort comparative data compression techniques and multi-compression results
publishDate 2013
url http://irep.iium.edu.my/33457/
http://irep.iium.edu.my/33457/
http://irep.iium.edu.my/33457/1/2165_Comparative_data_compression_techniques_and_multi-compression_results.pdf
first_indexed 2023-09-18T20:48:21Z
last_indexed 2023-09-18T20:48:21Z
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