Optimal Step-Size Control of the Partitioned Block Frequency-Domain Adaptive Filter

Feiran Yang; Jun Yang

doi:10.1109/TCSII.2017.2780880

Optimal Step-Size Control of the Partitioned Block Frequency-Domain Adaptive Filter

Feiran Yang, Jun Yang^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

Abstract

The partitioned block frequency-domain adaptive filter (PBFDAF) is appealing in echo cancellation due to its computational efficiency and good convergence property. However, the choice of the step size should comprise between the convergence rate and the final misalignment. Several variable step-size schemes were proposed, but this problem was not resolved entirely. In this brief, a robust optimal control approach to the PBFDAF algorithm is presented. We carry out a statistical convergence analysis for the PBFDAF, which is then used to derive the optimal step size and estimate the system distance. Simulation results demonstrate that the proposed method achieves an improved performance than the other variable step-size PBFDAF algorithms in the context of echo cancellation.

Original language	English
Pages (from-to)	814-818
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Volume	65
Issue number	6
DOIs	https://doi.org/10.1109/TCSII.2017.2780880
Publication status	Published - Jun 2018
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2004-2012 IEEE.

ASJC Scopus Subject Areas

Electrical and Electronic Engineering

Keywords

Adaptive filtering
echo cancellation
frequency domain
variable step size

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10.1109/TCSII.2017.2780880

Cite this

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abstract = "The partitioned block frequency-domain adaptive filter (PBFDAF) is appealing in echo cancellation due to its computational efficiency and good convergence property. However, the choice of the step size should comprise between the convergence rate and the final misalignment. Several variable step-size schemes were proposed, but this problem was not resolved entirely. In this brief, a robust optimal control approach to the PBFDAF algorithm is presented. We carry out a statistical convergence analysis for the PBFDAF, which is then used to derive the optimal step size and estimate the system distance. Simulation results demonstrate that the proposed method achieves an improved performance than the other variable step-size PBFDAF algorithms in the context of echo cancellation.",

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AB - The partitioned block frequency-domain adaptive filter (PBFDAF) is appealing in echo cancellation due to its computational efficiency and good convergence property. However, the choice of the step size should comprise between the convergence rate and the final misalignment. Several variable step-size schemes were proposed, but this problem was not resolved entirely. In this brief, a robust optimal control approach to the PBFDAF algorithm is presented. We carry out a statistical convergence analysis for the PBFDAF, which is then used to derive the optimal step size and estimate the system distance. Simulation results demonstrate that the proposed method achieves an improved performance than the other variable step-size PBFDAF algorithms in the context of echo cancellation.

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Optimal Step-Size Control of the Partitioned Block Frequency-Domain Adaptive Filter

Abstract

Bibliographical note

ASJC Scopus Subject Areas

Keywords

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