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 Sept 292014 Oct 3

    Other

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

    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
    • General Computer Science

    Fingerprint

    Dive into the research topics of 'Adapting horizon size in finite impulse response filtering through switching extensible FIR filter bank'. Together they form a unique fingerprint.

    Cite this