An approximation to the Volterra series with multiple linear ARMA filters
نویسندگان
چکیده
Nonlinear filtering based on the Volterra series expansion is a powerful universal tool in signal processing. Due to the problem of increased complexity for higher orders and filter lengths, approximations up to third order nonlinearities using linear FIR-filters and multipliers have been developed earlier, called Multi Memory Decomposition (MMD). In our paper we go a step further in this approach using ARMA-filters instead, which leads to reduction in the number of coefficients to about 50% for similar system functions. The good performance of this new approach is demonstrated by means of a processor designed for identification of nonlinear loudspeaker distortions.
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تاریخ انتشار 1999