Adapting horizon size in finite impulse response filtering through switching extensible FIR filter bank

Jung Min Pak, Choon Ki Ahn, Myo Taeg Lim, Yuriy S. Shmaliy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Infinite impulse response (FIR) filtering, horizon size (memory size) is an important parameter that influences estimation performance. In this paper, in order to improve the estimation performance of a linear FIR filter, we propose a new method to manage horizon size. The proposed method adapts (adjusts) horizon size based on the likelihood of observation and it is called switching extensible FIR filter bank (SEFFB). The SEFFB exhibits smaller estimation errors than a single FIR filter that uses the best constant horizon size.

Original languageEnglish
Title of host publication2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479962310
DOIs
Publication statusPublished - 2014
Event2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014 - Ciudad del Carmen, Mexico
Duration: 2014 Sep 292014 Oct 3

Other

Other2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014
CountryMexico
CityCiudad del Carmen
Period14/9/2914/10/3

Fingerprint

Filter banks
FIR filters
Impulse response
Error analysis
Data storage equipment

Keywords

  • FIR filter
  • Horizon size
  • State estimation
  • Switching extensible FIR filter bank (SEFFB)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Computer Science(all)

Cite this

Pak, J. M., Ahn, C. K., Lim, M. T., & Shmaliy, Y. S. (2014). Adapting horizon size in finite impulse response filtering through switching extensible FIR filter bank. In 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014 [6978264] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEEE.2014.6978264

Adapting horizon size in finite impulse response filtering through switching extensible FIR filter bank. / Pak, Jung Min; Ahn, Choon Ki; Lim, Myo Taeg; Shmaliy, Yuriy S.

2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 6978264.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pak, JM, Ahn, CK, Lim, MT & Shmaliy, YS 2014, Adapting horizon size in finite impulse response filtering through switching extensible FIR filter bank. in 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014., 6978264, Institute of Electrical and Electronics Engineers Inc., 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014, Ciudad del Carmen, Mexico, 14/9/29. https://doi.org/10.1109/ICEEE.2014.6978264
Pak JM, Ahn CK, Lim MT, Shmaliy YS. Adapting horizon size in finite impulse response filtering through switching extensible FIR filter bank. In 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014. Institute of Electrical and Electronics Engineers Inc. 2014. 6978264 https://doi.org/10.1109/ICEEE.2014.6978264
Pak, Jung Min ; Ahn, Choon Ki ; Lim, Myo Taeg ; Shmaliy, Yuriy S. / Adapting horizon size in finite impulse response filtering through switching extensible FIR filter bank. 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014. Institute of Electrical and Electronics Engineers Inc., 2014.
@inproceedings{e8f023fbb6ca4d79984395d65e3deedc,
title = "Adapting horizon size in finite impulse response filtering through switching extensible FIR filter bank",
abstract = "Infinite impulse response (FIR) filtering, horizon size (memory size) is an important parameter that influences estimation performance. In this paper, in order to improve the estimation performance of a linear FIR filter, we propose a new method to manage horizon size. The proposed method adapts (adjusts) horizon size based on the likelihood of observation and it is called switching extensible FIR filter bank (SEFFB). The SEFFB exhibits smaller estimation errors than a single FIR filter that uses the best constant horizon size.",
keywords = "FIR filter, Horizon size, State estimation, Switching extensible FIR filter bank (SEFFB)",
author = "Pak, {Jung Min} and Ahn, {Choon Ki} and Lim, {Myo Taeg} and Shmaliy, {Yuriy S.}",
year = "2014",
doi = "10.1109/ICEEE.2014.6978264",
language = "English",
isbn = "9781479962310",
booktitle = "2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Adapting horizon size in finite impulse response filtering through switching extensible FIR filter bank

AU - Pak, Jung Min

AU - Ahn, Choon Ki

AU - Lim, Myo Taeg

AU - Shmaliy, Yuriy S.

PY - 2014

Y1 - 2014

N2 - Infinite impulse response (FIR) filtering, horizon size (memory size) is an important parameter that influences estimation performance. In this paper, in order to improve the estimation performance of a linear FIR filter, we propose a new method to manage horizon size. The proposed method adapts (adjusts) horizon size based on the likelihood of observation and it is called switching extensible FIR filter bank (SEFFB). The SEFFB exhibits smaller estimation errors than a single FIR filter that uses the best constant horizon size.

AB - Infinite impulse response (FIR) filtering, horizon size (memory size) is an important parameter that influences estimation performance. In this paper, in order to improve the estimation performance of a linear FIR filter, we propose a new method to manage horizon size. The proposed method adapts (adjusts) horizon size based on the likelihood of observation and it is called switching extensible FIR filter bank (SEFFB). The SEFFB exhibits smaller estimation errors than a single FIR filter that uses the best constant horizon size.

KW - FIR filter

KW - Horizon size

KW - State estimation

KW - Switching extensible FIR filter bank (SEFFB)

UR - http://www.scopus.com/inward/record.url?scp=84938788971&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84938788971&partnerID=8YFLogxK

U2 - 10.1109/ICEEE.2014.6978264

DO - 10.1109/ICEEE.2014.6978264

M3 - Conference contribution

AN - SCOPUS:84938788971

SN - 9781479962310

BT - 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -