2002Unpublished venueRequires access

Bilinear multirate transformation: a comparison

J. Szczupak, Carlos A. Duque

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Abstract

This paper presents a modified Bilinear Transformation that allows magnitude linearity at a wider range of frequencies. The method is used to synthesize linear networks in the state space form. The network is discretized using high sampling rate, but implemented at a lower rate. This is possible because it uses multirate processing as well as the interaction between network and interpolation filter. Several examples show that frequency distortion is reduced at a lower computational burden.

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What this paper is about

This paper presents a modified Bilinear Transformation that allows magnitude linearity at a wider range of frequencies. The method is used to synthesize linear networks in the state space form. The network is discretized using high sampling rate, but implemented at a lower rate. This is possible because it uses multirate processing as well as the interaction between network and interpolation filter. Several examples show that frequency distortion is reduced at a lower computational burden.

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Available abstract

This paper presents a modified Bilinear Transformation that allows magnitude linearity at a wider range of frequencies. The method is used to synthesize linear networks in the state space form. The network is discretized using high sampling rate, but implemented at a lower rate. This is possible because it uses multirate processing as well as the interaction between network and interpolation filter. Several examples show that frequency distortion is reduced at a lower computational burden.

Key concepts: Bilinear interpolation, Bilinear transform, Interpolation (computer graphics), Linearity, Transformation (genetics), Discretization, Distortion (music), Computer science

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