Acoustic Echo Cancellation Using Wavelet Transform And Adaptive Filters
Journal Title: Acta Technica Napocensis- Electronica-Telecomunicatii (Electronics and Telecommunications) - Year 2013, Vol 54, Issue 2
Abstract
The paper proposes a new method for acoustic echo cancellation(AEC), in order to improve the performances of the normalized least-mean-square (NLMS) and non-parametric variable- step -size-NLMS (NPVSS-NLMS) algorithms. The acoustic system is modeled using an impulse response measured in a low reverberant enclosure. After using the two algorithms for identifying the mentioned acoustic system, one can observe that the NPVSS-NLMS provides better performances than the NLMS in terms of convergence rate at the same steady-state error. Simulations have been performed using both white Gaussian noise and a non-stationary audio signal as source sequences. For further convergence improvement, we propose the wavelet transform for the input signal decomposition.The two adaptive algorithms are applied to the wavelet structure obtained. The proposedwavelet based identification methods provide better convergence rates than each of the two conventional adaptive filters. Also one can notice that the wavelet NPVSS-NLMS (WNPVSS-NLMS) provides better performances than the wavelet NLMS (WNLMS). MATLAB simulations performed for white Gaussian noise and nonstationary audio signal used as input prove the previous statements.
Authors and Affiliations
Bianca Alexandra FAGARAS, Cristian CONTAN, Marina Dana TOPA
Keywords
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