genzong

A new concept of tracking ball has been applied of detecting the ball in one frame by finding centroid ball ,finding histogram of the ball region and correlating it with candidate s histogram (by scanning the complete image) in subsequent frames. Matching of histogram indicates presence of ball ,hence tracks it.

基于粒子群算法的比例积分微分控制算法，很不错(Particle swarm algorithm based on the proportion of integral differential control algorithm, is very good)

非连续波导时间域有限差分法仿真（TD-FDM），入射波为理想高斯脉冲。经典之处在于利用matlab制作了电影文件，可以动画形式看到波的入射、反射以及透射状况。(Non-consecutive time waveguide FDTD simulation (TD-FDM), for an ideal Gaussian pulse incident. Classic is the use of matlab has produced a movie file, you can see an animation sequence of the incident wave, reflection and transmission status.)

matlab snake matlab snake(matlab snake)

该代码是根据基于流行正则化和后验概率的分类模型而改写的，能够对复杂数据进行准确的分类。(The code is based on the popular regularization and posterior probability classification model and rewritten, able to accurately classify complex data.)

simulink中自己搭建的永磁同步电机模型，在相同参数下与系统自带的模型仿真对比，其输出波形完全一致，说明搭建的模型正确(Simulink u4E2D u81EA u5DF1 u642D u5ED u5ED u7EF0 u7EF0 u7R0 U81EA u5E26 u7A1 u6A1 u5782 u5R2 u5B09 u5B09 u0B09 U6A21 u578B u6B63 u786E)

fenbushuju文件用于拟合zernike波面与原始波面的偏差。clgs，mgs，get-CG-decomp文件分别为使用传统Gram-Schmit和修正Gram-Schmit算法实现QR分解，并获得计算值。而stability文件为Householder分解方法。工程上用来检验Gram-Schm的计算正确与否(fenbushuju file is used to fit zernike wave-front with the original wave-front deviations. clgs, mgs, get-CG-decomp files are for the use of the traditional Gram-Schmit and amendment of Gram-Schmit algorithm QR decomposition, and obtain the calculated value. The stability documents Householder decomposition. Engineering Gram-Schm used to test the correctness of the calculation of)

MATLAB基础及应用 第2版电子教案 基础性非常好，适合新手。(MATLAB Fundamentals and Applications 2nd edition electronic teaching a very good foundation for novice.)

在matlab中利用雷克子波应用褶积公式合成一维地震记录，同时对比零相位和最小相位雷克子波的效果(Synthesis of one-dimensional seismic records in matlab using the Ricker wavelet applications convolution formula)

LLDA，局部线性判别分析，可以降到任意的维度，相比LDA更加优秀(LLDA, Local Linear Discriminant Analysis, can be reduced to any dimension, which is better than LDA.)