Content Provider	IEEE Xplore Digital Library
Author	Elsayed, Hend A.
Copyright Year	2014
Description	Author affiliation: Department of Communication and Computer Engineering, Faculty of Engineering, Delta University for Science and Technology, Mansoura, Egypt (Elsayed, Hend A.)
Abstract	This paper presents a lossless audio coding using Burrows-Wheeler Transform (BWT) and a combination of a Move-To-Front coding (MTF) and Run Length Encoding (RLE). Audio signals used are assumed to be of floating point values. The BWT is applied to this floating point values to get the transformed coefficients; and then these resulting coefficients are converted using the Move-to-Front coding to coefficients can be better compressed and then these resulting coefficients are compressed using a combination of the Run Length Encoding, and entropy coding. Two entropy coding are used which are Arithmetic and Huffman coding. Simulation results show that the proposed lossless audio coding method outperforms other lossless audio coding methods; using only Burrows-Wheeler Transform method, using combined Burrows-Wheeler Transform and Move-to-Front coding method, and using combined Burrows-Wheeler Transform and Run Length Encoding method.
Starting Page	354
Ending Page	359
File Size	2236351
Page Count	6
File Format	PDF
e-ISBN	9781479965946
DOI	10.1109/ICCES.2014.7030985
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-22
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Arithmetic Coding Burrows-Wheeler Transform Huffman Coding Audio Coding Run Length Encoding Entropy Entropy coding Move-To-Front coding
Content Type	Text
Resource Type	Article

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