Comparative Study of Data Compression Techniques

Authors(3) :-Supriya Gabhane, Songa Bhattacharyya, Snehalata Shende

Source Coding is used to reduce the redundancy for transmission of data. This leads to need for ‘data compression’ that is, which requires less storage with high transfer rate .Thus the cost of storage hardware and bandwidth decreases. The paper deals with the number of data compression techniques named Huffman Coding, LZ coding and Shannon-Fano Coding and these coding are used for lossless data compression. Lossless data compression techniques regenerate the original data from the compressed file. The paper provides a detail survey and comparison of the different lossless data compression techniques.

Authors and Affiliations

Supriya Gabhane
Department of Electronics & Telecommunication, S. B. Jain Institute of Technology Management & Research, RTMNU, Nagpur, Maharashtra, India
Songa Bhattacharyya
Department of Electronics & Telecommunication, S. B. Jain Institute of Technology Management & Research, RTMNU, Nagpur, Maharashtra, India
Snehalata Shende
Department of Electronics & Telecommunication, S. B. Jain Institute of Technology Management & Research, RTMNU, Nagpur, Maharashtra, India

Lossless Data Compression, Huffman Coding, L-Z W, Shannon- Fano Coding.

  1. Dr.Sanjay Sharma, “Information Theory in the Communication Systems(Analog and Digital) book” published by S.K. Kataria & Sons ,New Delhi.
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Publication Details

Published in : Volume 3 | Issue 2 | January-February 2017
Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 159-162
Manuscript Number : NCAEAS2338
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Supriya Gabhane, Songa Bhattacharyya, Snehalata Shende, " Comparative Study of Data Compression Techniques", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 2, pp.159-162, January-February-2017.
Journal URL : http://ijsrst.com/NCAEAS2338

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