SPSOS

MATLAB Programming for Engineering

说明：  matlab利用遗传算法求解目标函数，包括适应度曲线(Matlab USES genetic algorithm to solve the objective function, including the fitness curve)

说明：  模糊数学中的波达排序，还有模糊聚类分析的MATLAB源代码(Borda sort,Fuzzy Cluster Analysis)

一个灰色模型的matlab实现，包含GM(1,1),GM(1,N),GM(2,1)和vershlust模型的系数计算，数值预报和误差分析以及图形输出(A gray model matlab realize, including GM (1,1), GM (1, N), GM (2,1) model and vershlust coefficient calculation, numerical weather prediction and error analysis, and graphical output)

基于MATLAB的小波去噪音的仿真实验~适合初学者~所有代码都有(Simulation experiments based on MATLAB wavelet to noise ~ for beginners ~ all of the code )

说明：  程序主要实现了三次样条插值，程序注释很详细(It mainly implements cubic spline interpolation with detailed program annotations.)

用MATLAB实现的二电平三相逆变器仿真分析。基于simulink的spwm电压型三相逆变器仿真(Simulation with MATLAB realization of the two-level three-phase inverter. Simulink based spwm voltage three-phase inverter simulation)

实现自适应滤波的快速RLS算法，很有用的，我找了很久。(To achieve fast RLS adaptive filtering algorithms, very useful, I am looking for a long time.)

提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。(extract information based on the instan eous features : In the center is one of the instantaneous rate of the power spectral density of the maximum, is a center to the absolute value of the instantaneous rate of the standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component absolute standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component standard deviation, In the center is one of the non-weak signal of the absolute value of the instantaneous frequency standard deviation, a signal to one of the instantaneous frequency of the power spectral density of the maximum, According to 16QAM and QPSK signals XI axis projection in the different performance parameters raised.)

MATLAB SIMULINK 设计的直流无刷电机本体模型 (The MATLAB Simulink design brushless DC motor ontology model)