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二维情况下用ＦＤＴＤ方法模拟电磁波的传播情况，没加吸收边界条件，用Ｃ和MATLAB混合编程，信号源是高斯脉冲(Two-dimensional case with the FDTD simulation of electromagnetic wave propagation, no additional absorbing boundary condition, mixed with the C and MATLAB programming, the signal source is a Gaussian pulse)

学习matlab中的一些必知小程序，量小而实用(Learning matlab must know in some small programs, a small amount of and practical)

可以实现粒子群算法与盲源分离算法的结合，比较方便。源信号可以随便替换(PSO algorithm can be achieved with the combination of blind source separation algorithms, more convenient. Source signal can be easily replaced)

Using adaboost with linear threshold classifier for a two class classification problem.(Using adaboost with linear threshold classifier for a two class classification problem.)

PSO or particle swarm optimization code in MATLAB

Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束. 用matlab实现mean shift算法仿真(Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions. realize using mean shift algorithm matlab simulation)

说明：  一个在智能天线技术里的波束形成算法(A smart antenna technology in the beamforming algorithm)

em算法matlab代码。解压缩后直接可以在matlab环境下运行(em algorithm Matlab code. Decompress directly in the operating environment Matlab)

Iterative Closest Point (ICP) 算法的改进型，精读高于原始版的，对点云噪声和漏洞的处理效果更好于原始版。(Iterative Closest Point (ICP) algorithm is improved, intensive than the original version.)

研究生时的现代信号处理的作业，直线阵采用切比学夫加权控制主旁瓣比，数据模型归一化，模态振动，基于kaiser窗的双谱线插值FFT谐波分析，通过matlab代码，自己编的5种调制信号，一种噪声辅助数据分析方法。( Modern signal processing jobs when the graduate, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Normalized data model, modal vibration, Dual-line interpolation FFT harmonic analysis kaiser windows, By matlab code, Own five modulation signal, A noise auxiliary data analysis method.)