An investigation on the plant modeling filter's parameters for active noise control system

Jinjun Wang, Kean Chen, Guoyue Chen, Kenji Muto

Research output: Contribution to journalArticle

2 Citations (Scopus)


Usually an FIR filter is used to model the physical paths in an active noise control system. However, the order of the filter to be modeled is a key factor for determining the computational load for the adaptive algorithms associated with active noise control (ANC), particularly for multi-channel algorithms. In this letter, the relationships among the filter's order, the plant modeling error and the location of poles for the transfer functions of the physical paths in an ANC system are theoretically examined and numerical examples are given to verify the theoretical results.

Original languageEnglish
Pages (from-to)1847-1851
Number of pages5
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Issue number6
Publication statusPublished - 2006 Jun



  • Active noise control
  • FIR filter
  • IIR filter
  • Path modeling

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this