Localization

最小二乘支持向量机分类预测,基于matlab的编程，实现预测分类(Least squares support vector machine classifier prediction matlab-based programming, forecasting classification)

时域平滑处理，用于时域信号的去噪平滑处理(Time-domain smoothing)

四元数的常见函数在matlab上实现，重要有指数函数，幂函数，余函数等(Common function of arity four based on MATLAB, the important index function, power function, complementary function etc.)

粒子群优化工具箱，采用Matlab编写的PSO程序工具箱(Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance improvement: Automatically vectorize fitness functions supplied by user, if not already vectorized. * Performance improvement: Detect and eliminate dependent (i.e. redundant) linear constraints. * Performance improvement: Automatically choose "penalize" versus "soft" constraint handling method based on type of constraints in problem. If any equality constraints exist, using "penalize", otherwise default to "soft". If "soft", automatically switch to "penalize" if more than a given percentage of particles (initial or interim) are infeasible. * Feature: An output function defined by options.OutputFcns that can save current swarm state in a file which can be reloaded later as a problem structure, in case of a system crash. * Feature: Implement multiobjective optimization option)

This demonstration shows that reordering the rows and columns of a sparse matrix S can affect the time and storage required for a matrix operation such as factoring S into its Cholesky decomposition

实现帧解析功能，包括帧校验，控制台应用程序(To achieve frame analysis functions, including frame check, a console application)

本论文对道路提取算法进行分析，综合，同时对特征进行了细致的分析综合，提出了相应的算法(road detection)

本程序完成带噪声的功率谱分析，通过两次的功率谱分析得到信号的频谱。(This process is completed with a noise power spectrum analysis, power spectrum analysis by two get the signal spectrum.)

general least square estimation in system ID

一种改进的混沌算法，结合进化算法进行改进,利用logistic映射进行改进(An improved chaotic particle algorithm to improve the diversity of PSO)