Applying the spectral method for modeling linear filters: Butterworth, Linkwitz–Riley, and Chebyshev filters

This paper proposes a new technique for computer modeling linear filters based on the spectral form of mathematical description of linear systems. It assumes the representation of input and output signals of the filter as orthogonal expansions, while filters themselves are described by two-dimensional non-stationary transfer functions. This technique allows one to model the output signal in continuous time, and it is successfully tested on the Butterworth, Linkwitz-Riley, and Chebyshev filters with different orders.

Authors

Publication Details

Journal
Franklin Open
Published
2026-01-15
DOI
https://doi.org/10.1016/j.fraope.2026.100508
Primary Topic
Digital Filter Design and Implementation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Applying the spectral method for modeling linear filters: Butterworth, Linkwitz–Riley, and Chebyshev filters

К. А. Рыбаков, Egor D. Shermatov
Franklin Open
Digital Filter Design and Implementation
article

Applying the spectral method for modeling linear filters: Butterworth, Linkwitz–Riley, and Chebyshev filters

К. А. Рыбаков, Egor D. Shermatov
article en

Abstract

This paper proposes a new technique for computer modeling linear filters based on the spectral form of mathematical description of linear systems. It assumes the representation of input and output signals of the filter as orthogonal expansions, while filters themselves are described by two-dimensional non-stationary transfer functions. This technique allows one to model the output signal in continuous time, and it is successfully tested on the Butterworth, Linkwitz-Riley, and Chebyshev filters with different orders.

Franklin OpenVol. 14
Openalex Percentile: Top 99%
Digital Filter Design and Implementation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Applying the spectral method for modeling linear filters: Butterworth, Linkwitz–Riley, and Chebyshev filters — К. А. Рыбаков, Egor D. Shermatov · Franklin Open (2026) | TGRS Research Map | TGRS