American Journal of Electrical and Electronic Engineering
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American Journal of Electrical and Electronic Engineering. 2019, 7(1), 14-17
DOI: 10.12691/ajeee-7-1-3
Open AccessArticle

Audio Compression Using DWT and RLE Techniques

Abebe Tsegaye1, and Girma Tariku1,

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

Pub. Date: May 13, 2019

Cite this paper:
Abebe Tsegaye and 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


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.

daubechies wavelet audio compression Discrete Wavelet Transform (DWT) Run Length Encoding (RLE)

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