Transient and steady-state analyses of the improved multiband-structured subband adaptive filter algorithm

Feiran Yang, Ming Wu, Peifeng Ji, Zheng Kuang, Jun Yang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

The authors previously proposed an improved multiband-structured subband adaptive filter (IMSAF) algorithm. In this contribution, they first present two delayless structures of the IMSAF algorithm to remove delay in the signal path. Then, they study the transient and steady-state behaviour of the IMSAF algorithms based on the energy conservation arguments and paraunitary condition imposed on the analysis and synthesis filter banks. The analysis does not require a model for the input signal. Simulation results show that the proposed delayless IMSAF algorithm has a faster convergence rate than the traditional delayless subband adaptive filtering algorithms. Theoretical analysis of the IMSAF algorithm is in good agreement with computer simulation results.

Original languageEnglish
Pages (from-to)596-604
Number of pages9
JournalIET Signal Processing
Volume9
Issue number8
DOIs
Publication statusPublished - Oct 1 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Institution of Engineering and Technology. © The Institution of Engineering and Technology 2015.

ASJC Scopus Subject Areas

  • Signal Processing
  • Electrical and Electronic Engineering

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