International Journal of Innovative Research in Computer Science and Technology
Year: 2015, Volume: 3, Issue: 3
First page : ( 25) Last page : ( 32)
Online ISSN : 2350-0557.
Article Tools: Print the Abstract | Indexing metadata | How to cite item | Email this article | Post a Comment
Pratibha Warkade , Agya Mishra
Nowadays, computer technology mostly focusing on storage space and speed. With the rapid growing of important data and increased numbers of applications, devising new approach for efficient compression and encryption methods are playing a vital role in performance. In this literature review, burrows wheeler transformation (BWT) is introduced for pre processing of the input data and made several performance analysis experiments over different compression techniques like Lempel-Ziv 77, Lempel-ZivWelch, Prediction with partial match, Move to front coding, j-bit encoding along with various entropy coding .And improved compression ratio has been found by applying BWT as preprocessing step, hence it will be good for further research work.
[1] Paul Brittan (BRTPAU008),“Evaluating Lossless Data Compression Algorithms for Use on Mobile Devices” , Literature Synthesis ,2008.
[2] Chapter6:A Word Level Context Based Speech Coding Scheme.
[3] Hend Ali Elsayed and Masoud Alghoniemy, “Lossless Audio Coding using Burrows-Wheeler Transform and Move-to-Front Coding”, Department of Electrical Engineering ,University of Alexandria, Alexandria, 21544 Egypt,IEEE 2006.
[4] Mrinal Kumar Borah, V.K. Govindan, “A Simple Lossless Audio Data Compression Based On Burrows Wheeler Transform”,Department of Computer Science & Engineering, National Institute of Technology, Calicut, Calicut, India,April-2013IEEE.
[5] I Made Agus Dwi Suarjaya “A New Algorithm for Data Compression Optimization” , Information Technology Department Udayana University Bali, Indonesia,2012.
[6] Dengfeng Zhang, Qing Liu+,Yuewan Wu, Yaping Li, Lin Xiao,“Compression and Indexing Based on BWT: A Survey”, School of Information, Renmin University of China,2013IEEE..
[7] Asral Bahari Jambek and Nor Alina Khairi “Performance Comparison Of Huffman And Lempel-Ziv Welch Data Compression For Wireless Sensor Node Application”,School of Microelectronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, Perlis, Malaysia,2014.
[8] M.P.Bhuyan, V.Deka, S.Bordoloi “Burrows Wheeler Based Data Compression And Secure Transmission”,Department of Information Technology, Gauhati University. Department of Information Technology, Gauhati University.Department of Computer Applications, Assam Engineering College,Dec-2013.
[9] Rupinder Singh Brar & Bikramjeet singh “A Survey on Different Compression Techniques and Bit Reduction Algorithm for Compression of Text/Lossless Data”, International Journal of AdvancedResearch in Computer Science and Software Engineering, Volume 3, Issue 3, March 2013. [10] S.R. kodituwakku & U. S.Amarasinghe, “Comparison Of Lossless Data Compression Algorithms For Text Data”, Indian Journal of Computer Science and Engineering,Vol 1 No 4 416-425.
M.E. Scholar, Dept. of Electronics and Telecommunication Engineering, Jabalpur Engineering College, Jabalpur, Madhya Pradesh, India
No. of Downloads: 8 | No. of Views: 1263
Prof.D.O.Shirsath, Punam Kamble, Rohini Mane, Ashwini Kolap, Prof.R.S.More.
March 2017 - Vol 5, Issue 2
