Design of linear-phase IIR integrators with maximally-flat and Chebyshev magnitude responses

This paper proposes two methods for designing linear-phase infinite impulse response integrators. The first method, referred to as the maximally-flat one, imposes flatness conditions on the frequency response error function, leading to a system of linear equations that have to be solved to determine unknown coefficients. Furthermore, a relation is established between the proposed maximally-flat integrators and existing integer-order linear-phase integrators derived using the algebraic polynomial-based quadrature rules, demonstrating that the latter represent special cases of the proposed integrators. The second method, referred to as the optimal one, minimizes the complex frequency response error function in the weighted Chebyshev sense, which is achieved by an efficient exchange algorithm that exhibits rapid convergence. The proposed linear-phase integrators are also compared with several existing linear- and nearly linear-phase integrators.

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Publication Details

Journal
Digital Signal Processing
Published
2025-06-13
DOI
https://doi.org/10.1016/j.dsp.2025.105400
Primary Topic
Radio Frequency Integrated Circuit Design
Type
article
Field-Weighted Citation Impact
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article

Design of linear-phase IIR integrators with maximally-flat and Chebyshev magnitude responses

Jasna Radulović, Ivan Krstić, Goran Stančić
Digital Signal Processing
Radio Frequency Integrated Circuit Design
article

Design of linear-phase IIR integrators with maximally-flat and Chebyshev magnitude responses

Jasna Radulović, Ivan Krstić, Goran Stančić
article en

Abstract

This paper proposes two methods for designing linear-phase infinite impulse response integrators. The first method, referred to as the maximally-flat one, imposes flatness conditions on the frequency response error function, leading to a system of linear equations that have to be solved to determine unknown coefficients. Furthermore, a relation is established between the proposed maximally-flat integrators and existing integer-order linear-phase integrators derived using the algebraic polynomial-based quadrature rules, demonstrating that the latter represent special cases of the proposed integrators. The second method, referred to as the optimal one, minimizes the complex frequency response error function in the weighted Chebyshev sense, which is achieved by an efficient exchange algorithm that exhibits rapid convergence. The proposed linear-phase integrators are also compared with several existing linear- and nearly linear-phase integrators.

Digital Signal ProcessingVol. 166
University of Kragujevac (RS), University of Nis (RS)
Climate action
Openalex Percentile: Top 88%
Radio Frequency Integrated Circuit Design
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