Frequency scaling implementation of adaptive analog filter design by state feedback approach

Research output: Contribution to journalArticle

Abstract

This research proposes a practical method to implement frequency scaling of adaptive analog filters. Frequency scaling is currently well known skill to transfer a low-pass prototype filter into another low-pass filter with different cut-off frequency. It is a mathematical methodology to have the passband change. Here, state feedback approach is used to shift poles of the original low-pass prototype filter to the desired poles location so that a new filter that has the desired passband and the desired cut-off frequency can be obtained. This approach also makes filters potentially achieve adaptive performances. Frequency scaled filters and state feedback controlled filters are also compared to show the feasibility of this approach in this paper.

Original languageEnglish
Pages (from-to)105-114
Number of pages10
JournalChung Cheng Ling Hsueh Pao/Journal of Chung Cheng Institute of Technology
Volume33
Issue number2
Publication statusPublished - 2005 May 1

Fingerprint

Low pass filters
State feedback
Cutoff frequency
analogs
filters
scaling
Poles
poles
cut-off
prototypes
low pass filters
Scaling
Filter
methodology
shift

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

@article{9cd5b91e1bf645b9a7d15c1e5b52dbd9,
title = "Frequency scaling implementation of adaptive analog filter design by state feedback approach",
abstract = "This research proposes a practical method to implement frequency scaling of adaptive analog filters. Frequency scaling is currently well known skill to transfer a low-pass prototype filter into another low-pass filter with different cut-off frequency. It is a mathematical methodology to have the passband change. Here, state feedback approach is used to shift poles of the original low-pass prototype filter to the desired poles location so that a new filter that has the desired passband and the desired cut-off frequency can be obtained. This approach also makes filters potentially achieve adaptive performances. Frequency scaled filters and state feedback controlled filters are also compared to show the feasibility of this approach in this paper.",
author = "Kai-chao Yao",
year = "2005",
month = "5",
day = "1",
language = "English",
volume = "33",
pages = "105--114",
journal = "Chung Cheng Ling Hsueh Pao/Journal of Chung Cheng Institute of Technology",
issn = "0255-6030",
publisher = "Chung Cheng Institute of Technology",
number = "2",

}

TY - JOUR

T1 - Frequency scaling implementation of adaptive analog filter design by state feedback approach

AU - Yao, Kai-chao

PY - 2005/5/1

Y1 - 2005/5/1

N2 - This research proposes a practical method to implement frequency scaling of adaptive analog filters. Frequency scaling is currently well known skill to transfer a low-pass prototype filter into another low-pass filter with different cut-off frequency. It is a mathematical methodology to have the passband change. Here, state feedback approach is used to shift poles of the original low-pass prototype filter to the desired poles location so that a new filter that has the desired passband and the desired cut-off frequency can be obtained. This approach also makes filters potentially achieve adaptive performances. Frequency scaled filters and state feedback controlled filters are also compared to show the feasibility of this approach in this paper.

AB - This research proposes a practical method to implement frequency scaling of adaptive analog filters. Frequency scaling is currently well known skill to transfer a low-pass prototype filter into another low-pass filter with different cut-off frequency. It is a mathematical methodology to have the passband change. Here, state feedback approach is used to shift poles of the original low-pass prototype filter to the desired poles location so that a new filter that has the desired passband and the desired cut-off frequency can be obtained. This approach also makes filters potentially achieve adaptive performances. Frequency scaled filters and state feedback controlled filters are also compared to show the feasibility of this approach in this paper.

UR - http://www.scopus.com/inward/record.url?scp=26644467486&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=26644467486&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:26644467486

VL - 33

SP - 105

EP - 114

JO - Chung Cheng Ling Hsueh Pao/Journal of Chung Cheng Institute of Technology

JF - Chung Cheng Ling Hsueh Pao/Journal of Chung Cheng Institute of Technology

SN - 0255-6030

IS - 2

ER -