Particle Filter comparison with Smoothing Methods

版本 1.0.0.0 (822.0 KB) 作者: Moeti Ncube
Compares Particle filtering to smoother
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更新时间 2011/1/4

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This program simulates a nonlinear dynamical system and estimates the hidden state using particle methods.

The program compares the performance of 3 particle methods (particle filter, forward backward smoother (FBS),and Maximum A-Posterior Smoother (MAP).

It computes the likelihood and MSE of each method compared with the dynamical system given.

See Chapter 5 of thesis.pdf included for detailed description of methods, models, and results generated by this code.

引用格式

Moeti Ncube (2025). Particle Filter comparison with Smoothing Methods (https://ww2.mathworks.cn/matlabcentral/fileexchange/29905-particle-filter-comparison-with-smoothing-methods), MATLAB Central File Exchange. 检索时间: .

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1.0.0.0