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Othman O. Khalifa, SeringHabib Harding & Aisha Hassan A. Hashim “Compression using Wavelet Transform in Signal Processing’’: An International Journal, Volume (2): Issue (5).

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Article

Audio Compression Using DWT and RLE Techniques

1Electrical and Computer Engineering Department, College of Engineering, Debre Berhan, Ethiopia


American Journal of Electrical and Electronic Engineering. 2019, Vol. 7 No. 1, 14-17
DOI: 10.12691/ajeee-7-1-3
Copyright © 2019 Science and Education Publishing

Cite this paper:
Abebe Tsegaye, Girma Tariku. Audio Compression Using DWT and RLE Techniques. American Journal of Electrical and Electronic Engineering. 2019; 7(1):14-17. doi: 10.12691/ajeee-7-1-3.

Correspondence to: Girma  Tariku, Electrical and Computer Engineering Department, College of Engineering, Debre Berhan, Ethiopia. Email: abebetsegayefaris@gmail.com; GirmaTariku@dbu.edu.et

Abstract

The growth of the cellular technology and wireless networks all over the world has increased the demand for digital information by manifold. This massive demand poses difficulties in handling huge amounts of data that need to be stored and transferred. To overcome this problem we can compress the information by removing the redundancies present in it. Redundancies are the major source of generating errors and noisy signals. Coding in MATLAB helps in analyzing compression of audio signals with varying bit rate and remove errors and noisy signals from the audio signals. The audio signal’s bit rate can also be reduced to remove errors and noisy signals which are suitable for remote broadcast lines, studio links, satellite transmission of high quality audio and voice over internet. This paper focuses on the audio compression process and its analysis using DWT and RLE Techniques through MATLAB by which processed audio signal can be heard with clarity and in the noiseless mode at the receiver end.

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