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Compression Using Wavelet Transform
Othman O. Khalifa, Sering Habib Harding, Aisha-Hassan A. Hashim
Pages - 17 - 26     |    Revised - 15-10-2008     |    Published - 15-11-2008
Volume - 2   Issue - 5    |    Publication Date - October 2008  Table of Contents
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KEYWORDS
Audio Compression, Wavelet transform
ABSTRACT
Audio compression has become one of the basic technologies of the multimedia age. The change in the telecommunication infrastructure, in recent years, from circuit switched to packet switched systems has also reflected on the way that speech and audio signals are carried in present systems. In many applications, such as the design of multimedia workstations and high quality audio transmission and storage, the goal is to achieve transparent coding of audio and speech signals at the lowest possible data rates. In other words, bandwidth cost money, therefore, the transmission and storage of information becomes costly. However, if we can use less data, both transmission and storage become cheaper. Further reduction in bit rate is an attractive proposition in applications like remote broadcast lines, studio links, satellite transmission of high quality audio and voice over internet.
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1 D. Sinha and A. Tewfik. “Low Bit Rate Transparent Audio Compression using Adapted Wavelets”, IEEE Trans. ASSP, Vol. 41, No. 12, December 1993.
2 P. Srinivasan and L. H. Jamieson. “High Quality Audio Compression Using an Adaptive Wavelet Packet Decomposition and Psychoacoustic Modeling”, IEEE Transactions on Signal Processing, Vol. 46, No. 4, April 1998.
3 Pohlmann, K.C., 2000. Principles of Digital Audio. New York: McGraw-Hill,
4 Proakis, J.G., Manolakis, D.G., 1996. Digital Signal Processing: Principles, Algorithms and Applications. New Jersey: Prentice-Hall
5 Symes, P., 2001. Digital Video Compression. New York: McGraw-Hill.
6 Watkinson, J., 1995. Compression in Video and Audio. Oxford: Focal Press.
7 Burrus, C.S., Gopinath, R.A., Guo, H., 1998. Introduction to Wavelets and Wavelet Transforms. New Jersey: Prentice-Hall.
8 Khars, M., & Brandenburg, K. (edit.). 1998. Applications of Digital Signal Processing to Audio and Acoustics. Massachusetts: Kluwer Academic Publishers.
9 Rowden, C. (edit.). 1992. Speech Processing, Berkshire,UK: McGraw-Hill.
10 Khalifa O. O., Review of Wavelet theory and its application to Image Data Compression, International Islamic University Malaysia Engineering Journal, Vol.4, No.1, p25-43, 2003.
11 Field, D. J. 1999.Wavelets, vision and the statistics of natural scenes. Philosophical Transactions of the Royal Society: Mathematical, Physical and Engineering Sciences, 357, 1760: 2527-2542.
Mr. Othman O. Khalifa
- Malaysia
khalifa@iium.edu.my
Mr. Sering Habib Harding
- Malaysia
Dr. Aisha-Hassan A. Hashim
- Malaysia