Simplified Set-Membership Affine Projection Least Mean Fourth Algorithm

dc.contributor.authorSuchada Sitjongsataporn
dc.contributor.authorSethakarn Prongnuch
dc.contributor.authorTheerayod Wiangtong
dc.date.accessioned2026-05-08T19:21:43Z
dc.date.issued2022-7-5
dc.description.abstractA simplified forms of adaptive set-membership affine projection based on least mean fourth algorithm is proposed. Least mean fourth (LMF) algorithm is defined by taking the fourth power of error to against the non-Gaussian environment. A set-membership adaptive filtering is described firstly. Then, an affine projection algorithm is based on LMF algorithm. A simplified set-membership affine projection algorithm based on LMF is introduced. Adaptive threshold parameter and learning rate are presented for improvement of convergence rate. Numerical simulations show that the proposed algorithm can provide significantly to the conventional affine projection algorithm.
dc.identifier.doi10.1109/itc-cscc55581.2022.9895082
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/18189
dc.publisher2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
dc.subjectAdvanced Adaptive Filtering Techniques
dc.subjectBlind Source Separation Techniques
dc.subjectSpeech and Audio Processing
dc.titleSimplified Set-Membership Affine Projection Least Mean Fourth Algorithm
dc.typeArticle

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