Nonlinear System Identification Using Adaptive Volterra Filters for Echo Cancelling
نویسندگان
چکیده
Adaptive nonlinear filtering plays an important role in audio signal processing and echo control. In this contribution a nonlinear system identification method is proposed. The setup is built using adaptive Volterra filters of second and third order with the same memory length. The adaptation is achieved using a Normalized Least Mean Square algorithm with a proper selected stepsize parameter for convergence and stability. Functions with nonlinear characteristics are chosen to test the method. Performances are evaluated in terms of Echo Return Loss Enhancement and Mean Square Error. Results show that Volterra filters perform better than linear filters in weakly nonlinear structures.
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