FDTDMATLAB

空间目标识别，采用PM算法，线性调频脉冲压缩的Matlab程序,多抽样率信号处理。( Space target recognition algorithm using PM, LFM pulse compression of the Matlab program, Multirate signal processing.)

迭代最邻近点算法: 计算两组点云之间的最佳匹配效果(Iterative closest point (ICP) algorithm: seaching the best overlapping result of two point clouds)

用C++编写的一维和二维快速傅里叶变换程序(Prepared with C++ one-dimensional and two-dimensional fast Fourier transform procedure)

DOA估计：最大熵算法、最小模算法、最小方差算法。输入： 快拍数据协方差矩阵R，观察范围内各方向导向矢量，三维矩阵phiyz。输出：最小方差谱估计矩阵P。(DOA Estimation: maximum entropy algorithm, the minimum norm algorithm, the minimum variance algorithm. Input: snapshot of the data covariance matrix R, the steering vector of each direction in the observed range of three-dimensional matrix phiyz. Output: the minimum variance spectral estimation matrix P.)

说明：  used to 计算p0点到直线p1p2的距离(p0 points used to calculate the straight-line distance p1p2)

基二、基四、基八 FFT变化源代码，有详细注解(Second base, the base four or eight FFT-based changes in the source code, detailed comments)

给出一个计算声子晶体结构的一维传递矩阵法。(Give a one-dimensional crystal structure of the phonon transfer matrix method.)

FDTD Solutions 是一款三维麦克斯韦方程求解软件，可以分析紫外、可见、红外至太赫兹和微波频率段电磁波与具有亚波长典型尺寸复杂结构的相互作用。 FDTD Solutions 使得设计师能够从容地面对光子设计复杂的挑战问题。快速原型制造和高精度仿真大大降低对费用高昂的原型试验的依赖，因而可以对设计概念进行快速评价，进而缩短产品研发周期，降低费用。 FDTD Solutions 可以帮助你成功应对各种复杂的应用，从基础光子学研究，到目前工业界领先应用领域如成像、照明、生物光子学、光伏、以及众多其他应用。(FDTD Solutions is a three-dimensional software for solving Maxwell' s equations, we can analyze the ultraviolet, visible, infrared and microwave to terahertz frequencies of electromagnetic waves having a typical size of subwavelength interaction of complex structures. FDTD Solutions allows designers to calmly face the complex photonic design challenges. Rapid prototyping and simulation precision greatly reduce dependence on costly prototype testing, which can quickly uate design concepts, and thus shorten the product development cycle and reduce costs. FDTD Solutions can help you successfully deal with a variety of complex applications, leading application areas such as imaging, lighting, biophotonics, photovoltaics, and many other applications basic photonics research, the current industry.)

从数据样本中随机选取一本分数据，运用K2算法进行贝叶斯网络结构学习(A sub-data randomly selected the data samples, using K2 Bayesian network structure learning algorithm)

多孔介质流动程序，基于Shan-Chen模型，使用格子玻尔兹曼理论(Multi-component fluid, using a LB method,based on the Shan-Chen model)