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来自「有关kalman滤波及其一些变形滤波算法」· M 代码 · 共 28 行

% ReBEL : Recursive Bayesian Estimation Library  - Toolkit
% Version 0.1
%
% ---EXAMPLES---
%
% State Estimation
%    state_estimation/demse1     -  Simple linear time series estimation demo
%    state_estimation/demse2     -  Nonlinear scalar state estimation demo
%    state_estimation/demse3     -  Nonlinear chaotic time series (Mackey-Glass 30) state
%                                   estimation demo.
%    state_estimation/demse4     -  Bearings-only tracking demonstration
%    state_estiamtion/demse5     -  Submarine tracking from a moving platform
%
% Parameter Estimation
%    parameter_estimation/dempe1 -  Simple parameter estimation for linear state space model.
%    parameter_estimation/dempe2 -  Demonstrate how the ReBEL toolkit is used to train a neural
%                                   network in efficient "low-level" mode by directly defining
%                                   an InferenceDS data structure.
%
% Joint Estimation
%    joint_estimation/demje1     -  Demonstrate joint estimation on a 2nd order LTI system.
%    joint_estimation/demje2     -  Demonstrate nonlinear time series joint estimation for
%                                   Mackey-Glass chaotic time series.
%
% Dual Estimation
%    dual_estimation/demspeech_dual - Demonstrate dual estimation on a speech enhancement problem.
%                                     This demo also show how to deal with colored noise sources.
%