FRFT2

使用matlab实现智能预测控制算法，分数阶傅里叶变换计算方面,实现了图像的加水印，去噪，加噪声等功能。( Use matlab intelligent predictive control algorithm, Fractional Fourier transform computing, Realize image watermarking, de-noising, plus noise and other functions.)

常用的算法设计策略(包括分治策略、动态规划、贪心策略、回溯法、随机算法等) 算法复杂度分析方法(计算迭代次数、使用递归方程、频度分析等) (Commonly used algorithm design strategies (including the strategy of divide and conquer, dynamic programming, greedy strategy, backtracking method, random algorithm) algorithm complexity analysis (number of iterations, using a recursive equation, frequency analysis, etc.))

说明：  一个机器学习的python文件，里面拥有各种机器学习方法，可以供大家参考(A Python file for machine learning, which has various machine learning methods, can be used for your reference.)

该程序完成了十进制数（包括小数）到二进制单精度浮点数的转换(The program completed a decimal number (including decimals) to single-precision floating-point binary conversion)

不可压缩后稳态径向滑动轴承润滑计算方法，等刚度，不考虑负压(Incompressible steady-state radial sliding bearing lubrication calculation method on the stiffness, do not consider the negative pressure)

点云曲面建模，基于距离函数，运用移动最小二乘法，拟合曲面，提取等值面，用于散乱点云的快速三角网格构建(Point cloud surface modeling, based on the distance function, the use of moving least squares method, fitting surface, isosurface extraction for fast scattered point cloud build triangular mesh)

基于全相位谱分析的相位差频谱校正法，结合了全相位FFT与传统FFT谱分析法。(Phase Difference Correcting Spectrum Method)

ICP迭代最近点算法的各种实现方法，包括四元函数法，最小迭代，等算法，以及ICP迭代最近点算法的实现。(ICP iterative closest point algorithm implementation, including the four-function method, the minimum iteration algorithm, and ICP iterative closest point algorithm.)

利用AR模型进行时间序列预测的程序源代码，使用最小二乘估计法进行参数估计。拟合效果非常好。(use AR model for time series prediction of the source code, the use of least squares estimation method to estimate parameters. Fitting very good results.)

用Monte-Carlo方法解决二维Ising模型(Monte-Carlo method used to solve two-dimensional Ising model)