ModelIdentification

数据处理 统计小工具 用于剔除3倍方差 matlab(Statistical data processing tools used to eliminate small variance matlab three times)

数据处理及误差分析采用了matlab软件来实现，它的界面虽然没有VB等直观简便，但其可调用的函数多，实现起来比较方便，程序中已经实现的功能有： （1）求算术平均值； （2）求残余误差（绝对误差）； （3）求标准差； （4）判断粗大误差，如果发现粗大误差,剔除粗大误差后再进行计算； （5）判断数据是否具有线性误差或者周期性误差。 (Data processing and error analysis using matlab software to achieve, its intuitive interface, while not VB so simple, but its function can be called many realize it was easier, the program has been implemented features are: (1) Find the arithmetic mean (2) Find the residual error (absolute error) (3) Find the standard deviation (4) to determine gross error, if found to gross error, calculated after excluding gross error (5) to determine whether data has linear error or Periodic error.)

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)

基于MATLAB的ofdm系统仿真m文件(MATLAB-based simulation ofdm m files)

支持向量机matlab程序 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法(Support vector machine matlab procedures (1) Main_SVC_C.m--- C_SVC II classification algorithm (2) Main_SVC_Nu.m--- Nu_SVC II classification algorithm (3) Main_SVM_One_Class.m--- One-Class Support Vector Machine (4 ) Main_SVR_Epsilon.m--- Epsilon_SVR regression algorithm (5) Main_SVR_Nu.m--- Nu_SVR regression algorithm)

联合开发网 - pudn.com

Ashrae模型 太阳辐射强度预测模型 任何时间和地点(Ashrae model predictive models of solar radiation intensity at any time and place)

说明：  超分辨率程序，用matlab开发,可以直接执行(matlab, super resolution)

在MATLAB中求图像纹理特征，计算多重分形非趋势波动分析，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，合成孔径雷达（SAR)目标成像仿真，正确率可以达到98％。( In the MATLAB image texture feature, Calculate the multifractal trend fluctuation analysis, PV modules contain, MPPT module, BOOST module, inverter module, Synthetic Aperture Radar (SAR) imaging simulation target, Accuracy can reach 98 .)

工学硕士论文，基于自适应卡尔曼滤波的捷联惯导非线性对准技术研究, (Engineering master's thesis, based on adaptive Kalman filtering SINS Nonlinear Alignment Technology,)