SSVEP Analysis Toolbox
stable
  • Introduction to Least-square Unified Framework
  • Installation
  • User API
    • Datasets
    • Recognition algorithms
      • Common methods for all models
      • Implementations based on eigen decomposition
      • Implementations based on least-square unified framework
    • Performance Evalution
    • Utility Functions
  • Examples
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  • Contributors
  • License
SSVEP Analysis Toolbox
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  • User API »
  • Recognition algorithms
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Recognition algorithmsΒΆ

  • Common methods for all models
  • Implementations based on eigen decomposition
    • Standard CCA and filterbank CCA
    • Individual template CCA (itCCA) and extended CCA (eCCA)
    • Multi-stimulus CCA
    • Multi-set CCA (MsetCCA)
    • Multi-set CCA with reference signals (MsetCCA-R)
    • Task-related component analysis (TRCA) and ensemble TRCA (eTRCA)
    • TRCA with reference signals (TRCA-R) and eTRCA with reference signals (eTRCA-R)
    • Sum of squared correlations (SSCOR) and Ensemble sum of squared correlations (eSSCOR)
    • Multi-stimulus TRCA
    • Task-discriminant component analysis
    • Online adaptive CCA
  • Implementations based on least-square unified framework
    • Standard CCA and filterbank CCA
    • Individual template CCA (itCCA) and extended CCA (eCCA)
    • Multi-stimulus CCA
    • Multi-set CCA (MsetCCA)
    • Multi-set CCA with reference signals (MsetCCA-R)
    • Task-related component analysis (TRCA) and ensemble TRCA (eTRCA)
    • TRCA with reference signals (TRCA-R) and eTRCA with reference signals (eTRCA-R)
    • Multi-stimulus TRCA
    • Task-discriminant component analysis
    • ms-eTRCA-R-1
    • ms-eTRCA-R-2
    • ms-MsetCCA-R-1
    • ms-MsetCCA-R-2
    • ms-MsetCCA-R-3
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© Copyright 2022, Ze Wang. Revision 0b362d35.

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