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E. Nsugbe

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Open access Aug 2026

The Linear Series Decomposition Learner (LSDL): A Multi-Geometric Theory of Signal Structure and Representation

Signal representation underpins modern signal processing, yet many existing methods primarily transform signals into alternative domains without explicitly modelling how informative signal structure evolves during recursive localisation. This paper presents the Linear Series Decomposition Learner (LSDL), a multi-geomet...

E. Nsugbe · 0 citations
Open access Aug 2026

An Adaptive Multi-Representation Fusion Framework for EMG Pattern Recognition in Transradial Amputees

Findings indicate that adaptive decomposition and representation-level information fusion provide an effective approach for exploiting subject-specific neuromuscular information while remaining suitable for computationally efficient prosthetic control applications.

E. Nsugbe, O. Samuel · 0 citations

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