Man pages for rSFA
Slow Feature Analysis
| addNoisyCopies | Add noisy copies for parametric bootstrap |
| customRep | Custom Repeater Function |
| customRepmat | Custom repmat Function |
| customSize | Custom Size Function. |
| etaval | Computes the eta value of a signal (slowness) |
| gaussClassifier | Classifier for SFA demos |
| gaussCreate | Create an Gaussian classifier object |
| gaussLoad | Load a GAUSS object. |
| gaussSave | Save a GAUSS object. |
| lcovCreate | Create a new covariance object. |
| lcovFix | Fix a covariance object |
| lcovPca | Principal Component Analysis on a covariance object |
| lcovPca2 | Improved Principal Component Analysis on a covariance object |
| lcovTransform | Transform a covariance object |
| lcovUpdate | Update a covariance object |
| nlDim | Custom Nonlinear Dimension Calculation |
| nlExpand | Expand a signal in the for Nonlinear Expansion demo |
| rSFA-package | Slow Feature Analysis |
| sfa1 | The SFA1 algorithm, linear SFA. |
| sfa1Create | Create structured list for linear SFA |
| sfa1Step | A step in the SFA1 algorithm. |
| sfa2 | The SFA2 algorithm, SFA with degree 2 expansion. |
| sfa2Create | Create structured list for expanded SFA |
| sfa2Step | A step in the SFA2 algorithm. |
| sfaBSh | Backslash operator. |
| sfaCheckCondition | Check Condition of a matrix for SFA |
| sfaClassify | Predict Class for SFA classification |
| sfaClassPredict | Predict Class for SFA classification |
| sfaExecute | Execute learned function for input data |
| sfaExpand | Degree 2 Expansion |
| sfaGetHf | Return a SFA function as a quadratic form. |
| sfaGetIntRange | Helper Function of SFA. |
| sfaLoad | Load a SFA object. |
| sfaNlRegress | Perform non-linear regression |
| sfaPBootstrap | Parametric Bootstrap |
| sfaPreproc | Preprocessing for SFA classification |
| sfaSave | Save a SFA object. |
| sfaStep | Update a step of the SFA algorithm. |
| sfaTimediff | Calculates the first derivative of signal data |
| xpDim | Degree 2 Dimension Calculation |
