jiechishoumingyuce

matlab的PPT课件，内容简单易懂，易操作，适合于初学者，自动化方向(matlab software for PPT, the contents of easy-to-read, easy to operate, suitable for beginners, automatic direction)

Extended Kalman Filter MATLAB code

基于MATLAB的数字均衡器 设计与实现 (MATLAB-based Design and Implementation of Digital Equalizer)

Circuit domain transformation parameters

数组运算示例，演示二维数组的存储方式（不同于其它语言）以及数组的运算和输出方法。(example of array operations. Demostration of storage (unlike other languages) , operation and output method of two dimensional array.)

非线性滤波算法工具箱，包括EKF、UKF、PF、PMF和ITKF等估计算法。(Nonlinear filtering algorithm toolbox, including the EKF, UKF, PF, PMF and ITKF such estimation.)

光子晶体的算法，一个关于光子晶体的比较有用的算法，还算可以用(The algorithm of the photonic crystal, a photonic crystal, the more useful algorithms, OK)

LDA algorithm for matlab

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)

capacity of binary symmetric channel