Rational-Exponent Filters with Applications to Generalized Exponent Filters
Samiya A Alkhairy

TL;DR
This paper introduces rational-exponent Generalized Exponent Filters (GEFs) that provide a continuous spectrum of filter behaviors, enhancing flexibility in filter design and applications without increasing complexity in stability or causality.
Contribution
The paper develops a new class of filters with rational exponents, offering multiple equivalent representations and enabling arbitrary continuous filter characteristics for improved performance.
Findings
Rational-exponent GEFs can be represented in time and frequency domains.
They allow continuous variation of filter parameters like quality factors.
These filters facilitate real-time processing with efficient integral expressions.
Abstract
We present filters with rational exponents in order to provide a continuum of filter behavior not classically achievable. We discuss their stability, the flexibility they afford, and various representations useful for analysis, design and implementations. We do this for a generalization of second-order filters which we refer to as rational-exponent Generalized Exponent Filters (GEFs) that are useful for a diverse array of applications. We present equivalent representations for rational-exponent GEFs in the time and frequency domains: transfer functions, impulse responses, and integral expressions - the last of which allows for efficient real-time processing without preprocessing requirements. Rational-exponent filters enable filter characteristics to be on a continuum rather than limiting them to discrete values thereby resulting in greater flexibility in the behavior of these filters…
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Taxonomy
TopicsWater Systems and Optimization
