dcl2

程序用Fortran95标准，给出了双共轭梯度法求解超大型稀疏矩阵的子程序。还给出了一个例子，例子的数据用索引存储了维数将近10万的对称稀疏正定矩阵。(Using Fortran95, a method of Biconjugate gradient for super linear sysem is provied. In addition, a example with the storage type of row-column index is also provide for test these subroutines. )

经验正交函数分析FORTRAN程序，用于变量场的时空结构分离（配套书籍《现代气候统计诊断与预测技术》）。(empirical orthogonal function, FORTRAN procedure, used to separate the spatio-temporal structure of climate variables.)

matlab 实现克里金插值 传统克里金插值 可用于已知少数点的值画整体趋势面(matlab kriging Can be used to draw a few points of the known value of the overall trend surface)

采用递推最小二乘法在时域范围内辨识传递函数(Recursive least squares method identification in the time domain transfer function)

基于FFT的海面模拟。能够实现海面的复制，波浪模拟效果较好。(FFT-based simulation of the sea. Be able to achieve replication of the sea, wave simulation better.)

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))

利用emd算法解决经验模式分解的一些存在的端点效应问题。 有效的解决了问题。(Using emd algorithm to solve some of the empirical mode decomposition end effects exist. Effective solution to the problem.)

应用基本粒子群算法求解复杂连续函数优化问题(Application of Basic Particle Swarm Optimization to Complex Continuous Function Optimization)

说明：  基尔霍夫近似方法，计算目标的双站散射系数。参考乌拉比的微波遥感。(Kirchhoff s approximation method to calculate the bistatic scattering coefficient of the target. Refer to the Orabi microwave remote sensing.)

得到一个人二值矩阵后，计算一个二值矩阵的聚类系数，来表示矩阵的特征(when you have a 0-1 matrix ,you can calculate its clusterig through my program)