eeg_feature_extraction

基于wifi的机器人粒子滤波 Copyright (c) 2008, Sebastien Paris All rights reserved.

fdtd code original calculation

用Hough变换检测车道直线，用MATLAB自带的Hough(),houghlines(),houghpeaks()实现(Lane with a straight line Hough transform detection, using MATLAB' s own Hough (), houghlines (), houghpeaks () to achieve)

power electric simulation in matlab simulink

基于matlab的彩色图像分割，方法是K-means聚类分割(Matlab-based color image segmentation method is K-means clustering segmentation)

求积分的matlab源程序,该程序的执行效率比较高，并且简单。(Quadrature matlab source, the efficiency of the program is relatively high, and simple.)

图像融合的matlab程序，把两张图片融合到一起(Image fusion matlab program, the two images fused together)

matlab傅立叶变化实现高通或者低通滤波(matlab fourier changes to achieve high-pass or low pass filter)

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)

说明：  预测控制算法中的广义预测控制编程仿真应用(Predictive control algorithm in the generalized predictive control simulation application programming)