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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.8, Issue:9)
Article Information:

A Robust Adaptive Acoustic Echo Cancellation (AEC) for Hands-free Communications using a Low Computational Cost Algorithm in Frequency Domain

Azeddine Wahbi, Ahmed Roukhe and Laamari Hlou
Corresponding Author:  Azeddine Wahbi 
Submitted: May ‎21, ‎2014
Accepted: ‎July ‎19, ‎2014
Published: September 05, 2014
Abstract:
This study presents a new algorithm for cancelling the acoustic echo, which is a major problem for hands-free communications. The proposed adaptive Acoustic Echo Canceller algorithm is designed and developed using a digital signal processing technique in frequency domain. The main scope of this study is to implement this module, benefiting the advantage of circular convolution properties and Fast Fourier Transform (FFT) with high computation speed in frequency domain rather than adaptive algorithms Normalized Least Mean Square (NLMS) and Recursive Least Square (RLS) in time domain with high complexity, also the simplicity of the implementation using SIMULINK programming. The results obtained at the simulation level prove the module behavior for cancellation of echo for hands free communications using adaptive algorithm frequency domain. Nevertheless, our algorithm shows more performances in terms of convergence and complexity. Our algorithm has been verified using the ERLE criteria to measure the attenuation of the echo signal at the output of an AEC; at this level we obtained the best values according to IUT-T recommendation G.168.

Key words:  Acoustic Echo Cancellation (AEC), adaptive algorithm, circular convolution, Digital Signal Processing (DSP), Echo Return Loss Enhancements (ERLE), Fast Fourier Transform (FFT),
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Cite this Reference:
Azeddine Wahbi, Ahmed Roukhe and Laamari Hlou, . A Robust Adaptive Acoustic Echo Cancellation (AEC) for Hands-free Communications using a Low Computational Cost Algorithm in Frequency Domain. Research Journal of Applied Sciences, Engineering and Technology, (9): 1132-1138.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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