opimize-code

用fortran语言读取NC格式的数据,与大家分享，希望能够共同进步哈，谢谢(Used fortran language to read NC data format to share with you, hoping to make progress together Ha, thank you)

很好的最小二乘求解工具，经典算法的c语言版本实现(A MINPACK-1 Least Squares Fitting Library in C)

说明：  9跨每跨35米桥梁响应的车桥耦合程序，使用Fortran编写(9 of 35 meters span bridge across every bridge coupled response procedures, the use of Fortran written)

ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，合成孔径雷达（SAR)目标成像仿真，脉冲响应的相关分析算法并检验。( ofdm system simulation including 16qam modulation fft windowing modules plus cp, Synthetic Aperture Radar (SAR) imaging simulation target, Related impulse response analysis algorithm and inspection.)

说明：  GM（1，1）灰色模型，便于了解其混沌特性，程序很短，由matlab编译，(GM (1,1) gray model to facilitate understanding of their chaotic behavior, a very short procedure, Matlab Compiler,)

点扩展函数的获取，最小二乘法估计PSF，验证通过，直接运行(Get the point spread function, least squares estimation PSF, verified by direct operation)

有加减乘除和括号运算功能的计算器，还可以算三角函数(calculator including plus，minus,mutiply,add)

Matlab codes for Robust PCA multivariate control chart(Robust PCA multivariate control chart mainly consists two steps: Step1 Calculates the robust mean and the robust covariance of original dataset using the minimum covariance determinant (MCD). In MCD technique, finding a subset containing half of the data such that its covariance matrix has the lowest determinant, then using this subset to calculate the robust mean and the robust covariance matrix (Hubert, Rousseeuw, & Branden, 2005) Step2 Standardize data using robust mean and robust standard deviation from Step1. Apply PCA analysis, calculate the principalcomponent score matrix Y=ZA, where Z is the robust standardized data matrix, and A is p*p matrix of eigenvectors (also called principalcomponents))

对离散点进行多项式拟合，不同于传统多项式拟合高次出现病态，此程序可以拟合高阶多项式( ORTHOFIT Fit polynomial to data. YS = ORTHOFIT(X,Y,N) smooths/fits data Y(X) in a least-squares sense using a polynomial of degree N and returns the smoothed data YS.)

随机子空间算法实现 matlab函数 分两步求取 来源于网络(Stochastic Subspace Realization Algorithm Tohru Katayama, "Subspace Methods for System Identification", Springer)