DMD-CPP

MATLAB code for extracting visual-stimulus EEG segments, computing DMD features, and performing LOSO classification via DMD-CPP or DMD-PCA
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Updated 6 Feb 2026

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This MATLAB code implements an EEG analysis pipeline that extracts visual-stimulus segments from EEGLAB datasets, computes Dynamic Mode Decomposition (DMD)–based features, and performs leave-one-subject-out (LOSO) classification using DMD-CPP or DMD-PCA frameworks.
CPP (Clustered Pattern Projection)

Cite As

Jong-Hyeon Seo (2026). DMD-CPP (https://in.mathworks.com/matlabcentral/fileexchange/183208-dmd-cpp), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2025b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Version Published Release Notes
1.0.4

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1.0.1

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1.0.0