Nonlinear system identification using IIR Spline Adaptive Filters
نویسندگان
چکیده
The aim of this paper is to extend our previous work on a novel and recent class of nonlinear filters called Spline Adaptive Filters (SAFs), implementing the linear part of the Wiener architecture with an IIR filter instead of an FIR one. The new learning algorithm is derived by an LMS approach and a bound on the choice of the learning rate is also proposed. Some experimental results show the effectiveness of the proposed idea. & 2014 Elsevier B.V. All rights reserved.
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ورودعنوان ژورنال:
- Signal Processing
دوره 108 شماره
صفحات -
تاریخ انتشار 2015