Package gov.nih.mipav.model.algorithms

Class libdt.DytexKalmanFilter

java.lang.Object

gov.nih.mipav.model.algorithms.libdt.DytexKalmanFilter

Enclosing class:

libdt

class libdt.DytexKalmanFilter
extends java.lang.Object

class for running the Kalman filter for dynamic texture inference. There are two ways to use the class: 1) instantiate with a DT to create a Kalman filter where most matrices are pre-computed. The KF instance can then be used for fast inference; 2) use the static functions to compute inference on a DT. In general, the first method should be used if the DT will not change and the KF will be used many times. The second method should be used if inference is required only once before the DT changes.

Field Summary

Fields

Modifier and Type	Field	Description
libdt.Mat	cache_detMt	< cache for an instantiated Kalman filter: Kalman gain matrices [n x m x tau].
libdt.Dytex	cache_dt	< cache for an instantiated Kalman filter: inverse covariance matrix [m x m x tau].
libdt.Mat[]	cache_invMt	< cache for an instantiated Kalman filter: determinant term [1 x tau].
libdt.Mat[]	cache_Kt

Constructor Summary

Constructors

Constructor	Description
DytexKalmanFilter(libdt.Dytex dt, int tau)	< cache for an instantiated Kalman filter: DT reference (use a pointer).

Method Summary

Modifier and Type	Method	Description
private void	loglike(java.util.Vector<libdt.Mat> videos, libdt.Mat lik, boolean mahal)
(package private) void	loglike_internal(libdt.Dytex dt, java.util.Vector<libdt.Mat> videos, libdt.Mat lik, int cache_tau, libdt.Mat[] cache_Kt, libdt.Mat cache_detMt, libdt.Mat[] cache_invMt, boolean mahal, libdt.kf_mode kfmode)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

cache_Kt

public libdt.Mat[] cache_Kt

cache_detMt

public libdt.Mat cache_detMt

< cache for an instantiated Kalman filter: Kalman gain matrices [n x m x tau].

cache_invMt

public libdt.Mat[] cache_invMt

< cache for an instantiated Kalman filter: determinant term [1 x tau].

cache_dt

public libdt.Dytex cache_dt

< cache for an instantiated Kalman filter: inverse covariance matrix [m x m x tau].

Constructor Detail

DytexKalmanFilter

public DytexKalmanFilter(libdt.Dytex dt,
                         int tau)

< cache for an instantiated Kalman filter: DT reference (use a pointer).

Method Detail

loglike

private void loglike(java.util.Vector<libdt.Mat> videos,
                     libdt.Mat lik,
                     boolean mahal)

loglike_internal

void loglike_internal(libdt.Dytex dt,
                      java.util.Vector<libdt.Mat> videos,
                      libdt.Mat lik,
                      int cache_tau,
                      libdt.Mat[] cache_Kt,
                      libdt.Mat cache_detMt,
                      libdt.Mat[] cache_invMt,
                      boolean mahal,
                      libdt.kf_mode kfmode)