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You will find the gslda Matlab codes that have been implemented in the paper "Generalized sparse discriminant analysis for event related potential classification"

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gsda

Matlab function for GSDA implementation.

Requirements: 1-spasm toolbox (see subfolder spasm or you can download from http://www2.imm.dtu.dk/projects/spasm/).

Example

See 'Example_sda_gsda.m'-

Cite

The authors would be grateful if published reports of research using this codes (or a modified version, maintaining a significant portion of the original codes)

@Article{PRS17, author = "Peterson, V. and Rufiner, H. L. and Spies, R.", title = "Generalized sparse discriminant analysis for event-related potential classification", journal = "Biomedical Signal Processing and Control", volume = "35", pages = "70--78", year = "2017", url = "http://fich.unl.edu.ar/sinc/sinc-publications/2017/PRS17" }

-Victoria Peterson -MARCH 2017

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You will find the gslda Matlab codes that have been implemented in the paper "Generalized sparse discriminant analysis for event related potential classification"

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