MIMO-OFDM-blind-timing-syn

an implementation of best fit in matlab

Locality Sensitive Discriminant Analysis

Realization of Horn-Antenna for plotting radiation pattern in matlab using finite difference time domain method

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position but, is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

十四单元的matlab程序，有少许改动。(14 unit matlab procedures, there are little changes.)

HHT gcc代码，专门用于希尔伯特黄变换。(HHT gcc code, specifically for the Hilbert-Huang Transform.)

AresLab MARS Multivariate adaptive regression splines

这是2010合工大Robocup机器人足球仿真2D技术培训内部培训资料，我找的好长时间才找到，希望对大家有用！(This is the 2010 co-workers big Robocup robot soccer simulation 2D technical training within the training materials, I am looking for a good long time to find the hope for all of us!)

Matlab中的GA程序(Matlab GA procedures)

说明：  用蒙特卡洛模拟实现美式期权定价，包括资产路径生成和美式期权欧式期权定价的源代码，附带参考文献。(Using Monte Carlo simulation to realize American option pricing, including the source code of asset path generation and American option European option pricing, with reference.)