lagrangian--uc

运动人体行为分析的资料，利用因马尔科夫模型和支持向量基做的(Human Movement behavior analysis data by using support vector-based model and HMM)

dpcm是差分相移键控编码实现的方式，具有很详尽的说明(dpcm Coding)

容器液面位置模糊控制系统，包含隶属函数及法则，用于matlab中模糊控制器(Container surface location of fuzzy control system, including the membership functions and rules for the fuzzy controller in matlab)

Implementation of AVL Tree

切比雪夫多项式拟合卫星精密星历。。。。。。(chebshev)

信号的抽样和恢复.ppt 信号的抽样和恢复.ppt (信号的抽样和恢复.ppt )

pwm波形输出，用来产生20ms周期的pwm波，用来驱动舵机。(the output of pwm, it is helpful to the user.)

运用群操作进行多用户检测，matlab程序(The use of group operation multi-user detection, matlab program)

提取Harris角点程序，非常好用的角点提取程序(Harris corner extraction program, very easy to use corner detection process)

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 and 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.