Rao-Blackwellised算法是统计信号处理与机器学习领域的重要技术，通过减少估计量的方差来提高估计精度。广泛应用于无线通信、雷达系统及图像处理等电子工程领域，对于提升系统性能具有显著效果。掌握Rao-Blackwellised方法不仅能够加深对现代信号处理理论的理解，还能为解决实际工程问题...
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. T...
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. T...
Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle Filters (PFs) that exploit conditional dependencies ...
In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure ...
n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure o...
Rao Blackwellised Particle Filtering for Dynamic Conditionally Gaussian Models基于高斯模型的rbpf（粒子滤波器）的matlab程序
fastslam 又称为rao-blackwillisd slam方法，源码提供fastslam1.0 和2.0的matlab源码。
基于RBMCDA (Rao-Blackwellized Monte Carlo Data Association)方法的多目标追踪程序