Overflow oscillation elimination of 2-D digital filters in the roesser model with wiener process noise

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

Recently, Ahn's criteria were proposed for dealing with deterministic external interference with finite energy in two-dimensional (2-D) digital filters. However, these criteria fail for cases where the 2-D filters have stochastic noise. In this letter, we propose a new criterion for overflow oscillation elimination of 2-D digital filters in the Roesser model with Wiener process noise. The criterion guarantees the asymptotic stability as well as a 2-D expected power bound. Thus, it can ascertain the attenuation of the effect of Wiener process noise to a prescribed level. This criterion is also expressed by linear matrix inequality (LMI). A numerical example is provided to show the usefulness of the proposed result.

Original languageEnglish
Article number6844824
Pages (from-to)1302-1305
Number of pages4
JournalIEEE Signal Processing Letters
Volume21
Issue number10
DOIs
Publication statusPublished - 2014 Jan 1

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Digital Filter
Overflow
Wiener Process
Digital filters
Elimination
Oscillation
Asymptotic stability
Linear matrix inequalities
Model
Attenuation
Asymptotic Stability
Matrix Inequality
Linear Inequalities
Interference
Filter
Numerical Examples
Energy

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Applied Mathematics

Cite this

Overflow oscillation elimination of 2-D digital filters in the roesser model with wiener process noise. / Ahn, Choon Ki.

In: IEEE Signal Processing Letters, Vol. 21, No. 10, 6844824, 01.01.2014, p. 1302-1305.

Research output: Contribution to journalArticle

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