Package javaslam.filter

Contains data structures and algorithms for linear-Gaussian filtering and linearizing nonlinear functions.

See:
Description

Interface Summary

ExtendedVectorFunction	A vector-valued function that takes a vector input and which can compute its Jacobian at any input.
Filter	A linear-Gaussian filter.
LinearizationFactory	A factory for linearization objects.
NoisyVectorFunction	A vector-valued function that takes a vector input, the bottom part of which is a white noise vector.
NonlinearFilter	A filter for nonlinear systems that maintains an approximate Gaussian belief state.
VectorFunction	A vector-valued function of a vector input.

Class Summary

ExtendedTransformation	The extended transformation for linearizing functions with Gaussian-distributed inputs.
InformationFilter	An Information filter.
JTFilter	A junction tree filter.
KalmanFilter	A Kalman filter.
LinearGaussianFunction	A vector-valued function that takes a vector input, the bottom part of which is a white noise vector.
Linearization	A linear-Gaussian approximation to a nonlinear vector-valued function of Gaussian-distributed inputs.
LinearizedFilter	A filter for nonlinear systems that uses local linearizations of the dynamics and measurement models so that a linear-Gaussian filter can be used to maintain an approximate Gaussian belief state.
UnscentedTransformation	The Unscented Transformation for linearizing functions with Gaussian-distributed inputs.

Package javaslam.filter Description

Contains data structures and algorithms for linear-Gaussian filtering and linearizing nonlinear functions.