Adaptive centre-frequency bandpass state-space digital filters and their <i>l</i> <sub>2</sub> -sensitivity analysis

This paper explores an adaptive centre-frequency bandpass state-space digital filter by expanding a sign algorithm into the gradient-based method. To this end, a simple method for deriving a bandpass state-space digital filter with tuneable centre-frequency from a prototype low-pass filter and low-pass/bandpass transformation is presented. An adaptive iterative algorithm is then developed by expanding a sign algorithm into the gradient-based method. Also, $ l_2 $ -sensitivities for the bandpass state-space digital filter with tuneable centre-frequency are analysed where an $ l_2 $ -sensitivity measure for evaluating the whole $ l_2 $ -sensitivities is deduced. Numerical experiments are included to demonstrate the validity and effectiveness of the adaptive centre-frequency bandpass state-space digital filter and the $ l_2 $ -sensitivity analysis.

Authors

Institutions

Publication Details

Journal
SICE Journal of Control Measurement and System Integration
Published
2024-12-30
DOI
https://doi.org/10.1080/18824889.2024.2445373
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adaptive centre-frequency bandpass state-space digital filters and their l 2 -sensitivity analysis

Yoichi Hinamoto, Akimitsu Doi
SICE Journal of Control Measurement and System Integration
Advanced Adaptive Filtering Techniques
article

Adaptive centre-frequency bandpass state-space digital filters and their l 2 -sensitivity analysis

Yoichi Hinamoto, Akimitsu Doi
article en

Abstract

This paper explores an adaptive centre-frequency bandpass state-space digital filter by expanding a sign algorithm into the gradient-based method. To this end, a simple method for deriving a bandpass state-space digital filter with tuneable centre-frequency from a prototype low-pass filter and low-pass/bandpass transformation is presented. An adaptive iterative algorithm is then developed by expanding a sign algorithm into the gradient-based method. Also, $ l_2 $ -sensitivities for the bandpass state-space digital filter with tuneable centre-frequency are analysed where an $ l_2 $ -sensitivity measure for evaluating the whole $ l_2 $ -sensitivities is deduced. Numerical experiments are included to demonstrate the validity and effectiveness of the adaptive centre-frequency bandpass state-space digital filter and the $ l_2 $ -sensitivity analysis.

SICE Journal of Control Measurement and System IntegrationVol. 18(1)
Kagawa Junior College (JP), Hiroshima Institute of Technology (JP), National Institute of Technology, Kagawa College (JP)
Openalex Percentile: Top 73%
Advanced Adaptive Filtering Techniques
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.