Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 12345]

▼Nintprim
▼Nbasis
▼Nbasis_model
CBasisModel	The BasisModel class is a base level class defining general methods that are used by all implemented basis models
▼Ngaussian_model
CGaussianModel	The GaussianModel class implements a basis model consisting of Gaussian radial basis functions
▼Nmixture_model
CMixtureModel	The MixtureModel class is an extension of BasisModel to multiple basis spaces for multiple degrees of freedom
▼Npolynomial_model
CPolynomialModel	The PolynomialModel class implements a basis model consisting of Polynomial basis functions
▼Nselection
CSelection
▼Nsigmoidal_model
CSigmoidalModel	The SigmoidalModel class implements a basis model consisting of Sigmoid radial basis functions
▼Nbayesian_interaction_primitives
CBayesianInteractionPrimitive	The BayesianInteractionPrimitive class is responsible for training an Interaction Primitive model from demonstrations as well as performing run-time inference
▼Nfilter
▼Nkf
CKalmanFilter	The KalmanFilter class localizes an interaction in space via the extended Kalman filter
▼Nlinear_system
CLinearSystem	The LinearSystem class provides general methods which are required by the KF linear filter
▼Nspatiotemporal
▼Nekf
CExtendedKalmanFilter	The ExtendedKalmanFilter class localizes an interaction in time and space via the extended Kalman filter
▼Nenkf
CEnsembleKalmanFilter	The EnsembleKalmanFilter class localizes an interaction in time and space via Monte Carlo approximation of the Kalman filter
▼Nnonlinear_system
CNonLinearSystem	The NonLinearSystem class provides general methods which are required by all the nonlinear filtering methods (EKF, EnKF, PF)
▼Npf
CParticleFilter	The ParticleFilter class localizes an interaction in time and space via sequential Monte Carlo sampling
▼Nutil
▼Nserver
CCORSRequestHandler
▼Nserver2
CCORSRequestHandler
▼Nserver3
CCORSRequestHandler
▼Nstat_collector
CStatCollector