Diffusion Partitioned-Block Frequency-Domain Adaptive Filter Over Multitask Networks

As a generalization of the frequency-domain adaptive filter (FDAF) algorithm, partitioned-block frequency-domain adaptive filter (PBFDAF) results in minimal signal path delay. In this paper, we propose the diffusion normalized PBFDAF algorithm based on an unsupervised clustering strategy to address...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2023-04, Vol.70 (4), p.1-1
Main Authors: Han, Hongyu, Peng, Yishu, Zhang, Fenglian, Le, Dinh Cong, Zhang, Sheng
Format: Article
Language:English
Subjects:
Adaptive algorithms
adaptive combination weight
Adaptive filters
Adaptive networks
Clustering
Diffusion barriers
diffusion strategy
Frequency domain analysis
frequency-domain
Signal paths
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Summary:As a generalization of the frequency-domain adaptive filter (FDAF) algorithm, partitioned-block frequency-domain adaptive filter (PBFDAF) results in minimal signal path delay. In this paper, we propose the diffusion normalized PBFDAF algorithm based on an unsupervised clustering strategy to address the low complexity implementation issues in multitask networks. Each node adaptively adjusts the combination weight coefficients by minimizing the instantaneous mean square deviation (MSD) in frequency-domain. The simulation results demonstrate that the proposed algorithm achieves superior performance.
ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2022.3225364