|
| Compression Using Wavelet Transform
|
|
Full
text: |
 PDF(0 Bytes) |
|
|
Source |
Signal Processing: An International Journal (SPIJ) |
|
Table of Contents |
|
|
Download
Complete Issue PDF(1.36MB) |
|
Volume: 2 Issue: 5 |
| |
Pages: 1-26 |
|
Publication
Date: October 2008 |
|
ISSN
(Online): 1985-2339 |
|
|
|
|
|
Pages |
17 - 26 |
|
Author(s) |
|
|
|
Published
Date |
15-11-2008 |
|
Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
|
ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
| |
|
| |
KEYWORDS: Audio Compression, Wavelet transform |
|
|
| |
|
|
| This Manuscript is indexed in the following databases/websites:- |
|
| 1. Directory of Open Access Journals (DOAJ) |
| 2. Docstoc |
| 3. Scribd |
| 4. PDFCAST |
| 5. Google Scholar |
| 6. WorldCat |
| 7. ScientificCommons |
| 8. Academic Index |
| 9. refSeek |
| 10. Bielefeld Academic Search Engine (BASE) |
| 11. ResearchGATE |
| 12. iSEEK |
| 13. Socol@r |
| |
|
| |
|
|
| 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. |
| |
|
| |
|
| |
| 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.
|
|
|
| |
|
| |
|
| |
| |
|
| |
|
| |
| |
|
| |
|
| |
|
| Othman O. Khalifa : Colleagues
|
|
| Sering Habib Harding : Colleagues
|
|
| Aisha-Hassan A. Hashim : Colleagues
|
|
