基于平衡模型截断的预测IIR滤波器设计

IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276) Pub Date : 2002-08-07 DOI:10.1109/IMTC.2002.1007190

M. Rezki, I. Kale

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引用次数: 0

摘要

近年来，多项式预测器的设计受到了许多滤波器设计者的高度关注。所产生的结果确实在工业上有许多应用。这些新的滤波器主要由有限脉冲响应(FIR)系统组成。其他类型的无限脉冲响应(IIR)也被开发出来。在本文中，我们着眼于平衡模型截断(BMT)在设计新的有利于多项式预测器的IIR方面提供的潜力。

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Design of predictive IIR filters via balanced model truncation

Recently the design of polynomial predictors has had great attention from many filter designers. The results produced have indeed found many applications in industry. These new filters consist primarily of finite impulse response (FIR) systems. Other flavours of infinite impulse response (IIR) have also been developed. In this paper we look at the potential offered by the balanced model truncation (BMT) in designing a new IIR favour of polynomial predictors.

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IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276)

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