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对于分类问题，matlab平台下的基于粒子群算法有关LSSVM参数寻优的程序。(For classification problems, the MATLAB platform based on particle swarm algorithm for LSSVM parameters optimization procedure.)

介绍局部均值分解（一种非平稳信号处理方法）的文献。原理算法、故障分析等。(Literature describes the local mean decomposition (a non-stationary signal processing methods). Principle algorithms, fault analysis, and so on.)

在Matlab中用高斯—拉盖尔公式及高斯—埃尔米特公式求函数的近似积分。(How to use IntGaussLager and IntGaussHermite formula expressions caltulate approximate integration of functional in Matlab.)

这个zip文件中包含的原则和双方的扩展卡尔曼滤波（EKF）和全球定位系统（GPS）算法简要说明。它的主要目的是提供一个相对容易实现的扩展卡尔曼滤波，在我们使用的输入函数的形式，而不是禁止函数处理符号表达式。它也可作为一个简要介绍了卡尔曼滤波算法GPS和学习它的意思。在为EKF的例子，我们提供的原始资料，同时使用的定位扩展卡尔曼滤波和最小二乘法的任务和解决方案。 有四个M文件和两个数据文件。 Extended_KF.m包含EKF的函数体。另一些功能和GPS的示例数据文件。(This zip file contains a brief illustration of principles and algorithms of both the Extended Kalman Filtering (EKF) and the Global Position System (GPS). It is designed primarily to provide a relatively easy-to-implement EKF, in which we use symbol expressions as the form of input functions rather than the forbidding function handles. It also serves as a brief introduction to the Kalman Filtering algorithms for GPS and a mean of learning it. In the example for the EKF, we provide the raw data and solution for the positioning task using both EKF and the Least Square method. There are four m files and two data files. Extended_KF.m contains the function body of the EKF. Others are functions and data files for the GPS example.)

封装好的模块是PV（光伏电池），本例利用斜坡信号作为电压端输入，仿真出光伏电池的外特性。(The packaged module PV (photovoltaic cells), in this case the use of the ramp signal as the input voltage terminal, simulation of the external characteristics of the photovoltaic cells.)

this code realize the two dimention esprit algorithm

un autre guide sur matlab

This file is lateral vehicle velocity observer which was verified via Carsim software and matlab/simulink.

RT（快速扩展随机树）是一种基于采样的算法求解路径规划问题。RRT提供可行的解如果时间RRT趋于无穷大。 RRT *是一个基于采样的算法为解决运动规划问题，这是一个概率最优变异性。RRT *收敛到最优解的渐近。 RRT * FN是一个基于采样的算法基于RRT *。RRT * FN内在渐近收敛到最优解，然而RRT * FN实现使用更少的内存(RRT (Rapidly-Exploring Random Tree) is a sampling-based algorithm for solving path planning problem. RRT provides feasable solution if time of RRT tends to infinity. RRT* is a sampling-based algorithm for solving motion planning problem, which is an probabilistically optimal variant of RRT. RRT* converges to the optimal solution asymptotically. RRT*FN is a sampling-based algorithm based on RRT*. RRT*FN inherents asymptotical convergence to the optimal solution, however RRT*FN implements it using less memory.)

说明：  天牛须仿生模糊寻优算法,寻找最优解。可作为股票分析等(BSO is a kind of bionic arithmetic which can calculate like fuzzy)