IRR-digital-high-pass-filter

this is a diagram in parks transformation

参数假设检验：对差异进行定量的分析，确定其性质，是随机误差还是系统误差.为给出两者界限，找一检验统计量T，在H0成立下其分布已知。(Parameter hypothesis test: a quantitative analysis of the differences, to determine its nature, is random error or system error. Is given two boundaries, looking for a test statistic T, its distribution under the establishment of the H0 known.)

weather prediction using ANFIS

用matlab神经网络分析与预测股票的发展趋势，具有较好的预测结果(Matlab neural network analysis and forecasting stock trends, to better predict the results)

BSM开环仿真程序 ，通过Matlab程序精确讲解仿真。(BSM open-loop simulation program, explain the precise simulation by Matlab program.)

说明：  MATLAB simulink 径向基神经网络 前馈神经网络(Application and Comparison of BP Neural Network Algorithm in MATLAB)

基于四边形单元有限元原理，计算桁架系统在外力作用下，各节点位移与单元应变。主程序BLOCKMAT.m，从输入文件中读入结点个数，单元个数，结点荷载个数，受约束边界点数，弹性模量，泊松比，厚度，单元定义数组，结点坐标数组，结点力数组，约束信息数组。输入文件inport.txt不同参数代表不同的桁架结构。(Based on quadrilateral finite element principle, calculation of truss system under the action of external force, the displacement of each node and element strain. Main program BLOCKMAT. J m, read from input file node number, cell number, number of nodal load, a constrained boundary points, elastic modulus, poisson s ratio, thickness and unit defined array, node coordinate arrays, nodal force array, array constraints information. Input file inport. TXT different parameters represent different truss structure.)

遗传算法优化 B P 神经网络非线性函数拟合 根据遗传算法和 B P 神经网络理论(Genetic algorithm optimization BP neural network - non-linear function fitting B P based on genetic algorithms and neural network theory)

MATLAB函数的mie散射和吸收 MATLAB Functions for Mie Scattering and Absorption(MATLAB Functions for Mie Scattering and Absorption。A set of Mie functions has been developed in MATLAB to compute the four Mie coefficients an, bn, cn and dn, efficiencies of extinction, scattering, backscattering and absorption, the asymmetry parameter, and the two angular scattering functions S1 and S2.)

Calculation of glcm Energy Entropy Homogeneity Features Dissimilarity Categorize