A novel word length selection method for a guaranteed H interference rejection performance and overflow oscillation-free realization of 2-D digital filters

  • Irza Arif
  • , Muhammad Tufail
  • , Muhammad Rehan
  • , Choon Ki Ahn*
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    9 Citations (Scopus)

    Abstract

    This paper examines the problem of the local overflow stability and disturbance attenuation performance analysis of two-dimensional (2-D) Roesser digital filters in the presence of external interferences. In particular, by utilizing the local properties of saturation nonlinearity and Lyapunov stability theory, a novel linear matrix inequality (LMI)-based condition is proposed that not only ensures the nonexistence of overflow oscillations, but also yields the H interference rejection performance of 2-D digital filters under the overflow constraint. It is worth mentioning here that in contrast to the traditional approaches based on modeling the saturation with a global sector-bound condition, the proposed approach provides a less conservative bound for the attenuation of disturbances and renders the idea of minimum word length for realizing the 2-D (Roesser) filter to eliminate overflow oscillations and attain the specified H interference attenuation performance index. Finally, a numerical simulation example is also provided, which demonstrates the superiority of the proposed method over the existing techniques.

    Original languageEnglish
    Pages (from-to)1331-1350
    Number of pages20
    JournalMultidimensional Systems and Signal Processing
    Volume29
    Issue number4
    DOIs
    Publication statusPublished - 2018 Oct 1

    Bibliographical note

    Publisher Copyright:
    © 2017, Springer Science+Business Media, LLC.

    Keywords

    • 2-D filter
    • Digital filter
    • External interference
    • Finite word length
    • Local stability
    • Overflow oscillation elimination

    ASJC Scopus subject areas

    • Software
    • Signal Processing
    • Information Systems
    • Hardware and Architecture
    • Computer Science Applications
    • Artificial Intelligence
    • Applied Mathematics

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