zuobiaozhengsuan

华盛顿大学机器人课程的教学作业，是学习Kalman滤波和粒子滤波很好的仿真平台。稍加改动可以将该平台作为SLAM学习，多目标跟踪等问题的实验平台。深入学习可以得到更多回报，具体算法的实现可以参考本站内的EKF-SLAM和Fast-SLAM(You are to write a particle filter and a Kalman filter for robot localization. The script generates motion information according to the odometry-based motion model. Observations are landmark detections. Each landmark has a unique ID. )

Nelder-Mead法用于多维变量的最优化问题，维数>=2.(Nelder-Mead method for multidimensional optimization problem variables, dimension> = 2.)

simple application of newton s method to solve nonlinear equation

说明：  主成分分析： (1) 根据指标的属性将原始数据统一趋势化 (2) 利用协方差、相关系数矩阵进行主成分分析，判断可否用第一主成分排名？(Principal component analysis: (1) Unify and trend the original data according to the attribute of the indicator (2) Using covariance and correlation coefficient matrix for principal component analysis, can we use the first principal component ranking?)

This is IP optimization method examples with optimum constraints

program for finite impulse response fiter

here i have given the programming of images that is conversion contrasting of images

配电网中，传统IEEE39节点的牛顿-拉夫逊法潮流计算。(Distribution power flow calculation。)

Fuzzy Mutual information which is used to calculate the mutual information between two variables.

This project is on type of techniques used to enhance an image, detection of edges. In this project we have used neighborhood processing for the edge detection using convolution mask. And to increase the contrast of an image, we stretched each component of an rgb image.