Multitask Diffusion Adaptive Tuning Affine Projection Algorithm for Distributed Model

dc.contributor.authorSuchada Sitjongsataporn
dc.contributor.authorTheerayod Wiangtong
dc.date.accessioned2026-05-08T19:24:47Z
dc.date.issued2025-3-5
dc.description.abstractThis paper presents combine-then-adapt diffusion model on affine projection adaptive algorithm with adaptive tuning mechanism. An adaptive affine projection algorithm is suggested in the distributed network. Diffusion strategy involves with the combination stage and adaptation stage. By adding the extra-stage in the combination stage, the combination between nodes and inside nodes are built with the global cost function for multitask model to eliminate unknown data. As dealt with fast convergence, the adaptive tuning parameters are assigned in terms of step-size value. Experimental results reveal that this proposed algorithm is able to contribute the approving results for system identifications.
dc.identifier.doi10.1109/ieecon64081.2025.10987804
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/19770
dc.subjectNeural Networks and Applications
dc.subjectImage and Signal Denoising Methods
dc.titleMultitask Diffusion Adaptive Tuning Affine Projection Algorithm for Distributed Model
dc.typeArticle

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