Newton's method for modularity-preserving multidimensional wave digital filters

Tim Schwerdtfeger, A. Kummert
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引用次数: 14

Abstract

Wave Digital Filter (WDF) theory provides an immediate method to derive robust, stable and real-time capable discretizations of one- or multidimensional prototype networks. However, there are realization constraints for certain types of structures, e.g. the presence of multiple nonlinearities, which result in non-computable implicit relations. A common approach to circumvent this restriction is wave-based modeling with state-space-like structures, where implicit equations are solved iteratively by Newton's method or similar approaches. Unfortunately, these concepts generally give up the modular structure of the WDF, thus the reusability, extendability and topology of the prototype network. In this paper, two multidimensional iteration methods based on Newton's method are proposed that are strictly modular and fit well into the modular concept of WDFs.
保模多维波数字滤波器的牛顿方法
波数字滤波器(WDF)理论提供了一种直接的方法来获得一个或多维原型网络的鲁棒、稳定和实时的离散化能力。然而,对于某些类型的结构存在实现约束,例如存在多个非线性,从而导致不可计算的隐式关系。规避这一限制的一种常见方法是使用状态空间结构的基于波动的建模,其中隐式方程通过牛顿方法或类似方法迭代求解。不幸的是,这些概念通常放弃了WDF的模块化结构,从而放弃了原型网络的可重用性、可扩展性和拓扑结构。本文提出了基于牛顿方法的两种严格模块化的多维迭代方法,它们很好地符合wdf的模块化概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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