Convergence Rate and Steady-State Error Improvement in Acoustic System Identification Using the Combination of Linear NLMS Adaptive Filters
Journal Title: Acta Technica Napocensis- Electronica-Telecomunicatii (Electronics and Telecommunications) - Year 2013, Vol 54, Issue 1
Abstract
The paper proposes the combination method applied on adaptive linear filters in acoustic system identification. The filters are based on the Normalized Least-Mean-Square algorithm and the combination is applied on two filters of different step sizes and different filter lengths. To evaluate the proposed technique, two types of source signals are used: a white Gaussian noise and a non-stationary audio signal. The performance of the adaptive scheme is analyzed in terms of Echo Return Loss Enhancement. The efficiency of the proposed concept was compared with the one of the two sub-band decomposition model. The advantages of the proposed method were outlined in terms of convergence rate and steady-state error.
Authors and Affiliations
Ingrid Maria KOVACS, Cristian CONŢAN, Marina ŢOPA
Keywords
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