DMD-CPP

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

You are now following this Submission

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 .

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.4

Add requirements

1.0.3

add description

1.0.2

Change Title

1.0.1

Data Link Added

1.0.0