The Bilinear transform is an established design method for producing digital representations of analog filters. But due to frequency warping inherent in the transform, adequate representation in the digital domain is limited for analog filters designed near or above the Nyquist frequency. Previous work has demonstrated a method for surpassing this design limitation in the case of parametric filters. This paper is an extension of that previous work, and proposes a design methodology for digitally representing any second order system with a center frequency near or above the Nyquist frequency. By repositioning the system poles, this method compensates for the effects of frequency warping, and allows for a more exact digital replication of an analog system’s magnitude response.

Authors: Darabundit, Champ; Wedelich, Russell
Affiliations: Stanford University, CA, USA; Eventide Inc. Little Ferry, NJ, USA(See document for exact affiliation information.)
AES Convention: 149 (October 2020) eBrief:631
Publication Date: October 22, 2020
Subject: Audio Processing

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