Add noisy copies for parametric bootstrap
Helper Function of SFA
Custom Nonlinear Dimension Calculation
Load a SFA object.
Custom repmat Function
Computes the eta value of a signal (slowness)
Check Condition of a matrix for SFA
Improved Principal Component Analysis on a covariance object
Create a new covariance object.
Expand a signal in the for Nonlinear Expansion demo
Update a step of the SFA algorithm.
Predict Class for SFA classification
Save a SFA object.
Create structured list for linear SFA
Backslash operator
Slow Feature Analysis in R
Update a covariance object
Degree 2 Dimension Calculation
Custom Repeater Function
Parametric Bootstrap
A step in the SFA2 algorithm.
Classifier for SFA demos
Calculates the first derivative of signal data
Transform a covariance object
Create an Gaussian classifier object
Execute learned function for input data
Fix a covariance object
The SFA2 algorithm, degree 2 expansion.
Return a SFA function as a quadratic form.
Save a GAUSS object.
Custom Size Function
Principal Component Analysis on a covariance object
The SFA1 algorithm, linear SFA.
Load a GAUSS object.
A step in the SFA1 algorithm.
Create structured list for expanded SFA
Perform non-linear regression
Degree 2 Expansion
Preprocessing for sfa classification
Predict Class for SFA classification