Transient analysis of partitioned-block frequency-domain adaptive filters

Feiran Yang, Gerald Enzner, Jun Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The frequency-domain adaptive filter (FDAF) is very useful for instance acoustic signal processing. The partitioned-block FDAF (PBFDAF) is a generalization of the FDAF and becomes more popular due to its low latency. Some efforts have been done toward the convergence analysis of PBFDAFs, but they usually use strong approximations and hence came to inaccurate results. This paper presents a unified approach to the transient analysis of both the constrained and unconstrained PBFDAFs based on the overlap-save structure. Using the independence assumption, we derive the analytical expressions for the mean and mean-square performance of PBFDAFs. Our analysis does not assume a specific model for the inputs and provides a quite general framework. Computer simulations confirm a good match between our theory and experimental results.

Original languageEnglish
Title of host publicationEUSIPCO 2019 - 27th European Signal Processing Conference
PublisherEuropean Signal Processing Conference, EUSIPCO
ISBN (Electronic)9789082797039
DOIs
Publication statusPublished - Sept 2019
Externally publishedYes
Event27th European Signal Processing Conference, EUSIPCO 2019 - A Coruna, Spain
Duration: Sept 2 2019Sept 6 2019

Publication series

NameEuropean Signal Processing Conference
Volume2019-September
ISSN (Print)2219-5491

Conference

Conference27th European Signal Processing Conference, EUSIPCO 2019
Country/TerritorySpain
CityA Coruna
Period9/2/199/6/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE

ASJC Scopus Subject Areas

  • Signal Processing
  • Electrical and Electronic Engineering

Keywords

  • Adaptive filtering
  • Convergence analysis
  • Frequency domain
  • Transient behavior

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