DC-MOTO-PROCESS-SIMULINK

岭回归程序 输入参数为自变量、因变量和优化因子 输出参数为映射矩阵与回归误差(Ridge Regression. Input parameters: - X: Input data block (k x n) - Y: Output data block (k x m) - q: Stabiliaztion factor (optional) If not given, estimated from data Return parameters: - F: Mapping matrix, Yhat = X*F - error: Prediction errors)

Matlab code for doing DCT and inverse DCT

说明：  一种亚启发式(meta-heuristic)随机搜索算法，它从一个初始可行解出发，选择一系列的特定搜索方向（移动）作为试探，选择实现让特定的目标函数值变化最多的移动。(A meta-heuristic random search algorithm that starts with an initial feasible solution and selects a series of specific search directions (moves) as heuristics, selecting the moves that achieve the most changes in the value of a particular objective function.)

画跟踪图 Painting Tracking Chart(Painting Tracking Chart)

这是求分形关联维数的另一个ＭＡＴＬＡＢ程序，希望对大家有用(This is for the fractal correlation dimension, another MATLAB program, and they hope U.S. Useful)

ROOT-MUSIC的matlab仿真源码，基于求根方式的music算法，避免了谱峰搜索，优化了计算复杂度(ROOT-MUSIC for matlab simulation source code, algorithm-based Roots music the way to avoid the peak search, optimization of the computational complexity)

剔除数据异常值，这个程序是比较小一点的 (Remove data outliers, this procedure is relatively smaller)

散射系数的计算，以及散射光强分布场的计算。一整套程序(Calculate scattering coefficients, as well as calculating the scattered light intensity distribution field. A set of procedures)

双谱线插值法的程序，包含各种常见的窗函数，采样频率和采样点数可以自己设定(Double line interpolation procedures, including a variety of common window function, the sampling frequency and sampling points can be set)

说明：  遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。（具有“生存+检测”的迭代过程的搜索算法）基于自然界“优胜劣汰，适者生存”的生物进化原理引入优化参数形成的编码串联群体中，按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选，使适应度值好的个体被保留，适应度差的个体被淘汰，新的群体既继承了上一代的信息，又优于上一代。反复循环，直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)