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Statistical-Mechanical Analysis of the Second-Order Adaptive Volterra Filter

机译:二阶自适应Volterra滤波器的统计力学分析

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The Volterra filter is a digital filter that can describe nonlinearity. In this paper, we analyze the dynamic behaviors of an adaptive signal-processing system based on the Volterra filter by a statistical-mechanical method. On the basis of the self-averaging when the tapped delay line is assumed to be infinitely long, we derive simultaneous differential equations in a deterministic and closed form that describe the behaviors of the macroscopic variables and obtain the exact solution by solving them analytically. In addition, the validity of the derived theory is confirmed by comparison with numerical simulations.
机译:Volterra滤波器是可以描述非线性的数字滤波器。在本文中,我们通过统计力学方法分析了基于Volterra滤波器的自适应信号处理系统的动态行为。在假定抽头延迟线无限长时的自平均基础上,我们以确定性和封闭形式导出联立微分方程,这些微分方程描述了宏观变量的行为,并通过解析求解来获得精确解。另外,通过与数值模拟的比较证实了推导理论的有效性。

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