hybrid_pseudo_L

说明：  PoleyFitqw曲3线3拟w合类q库 PolewyFitqw曲w线拟w合t类库 PoelywFitq曲w线拟t合类t库 PoelyFtitq曲er线rw合类t库 PolywrFitq曲q线拟wt合t类库(Pwoly33FiwtPoleetPwolyFit555PolywFit)

abaqus 施加周期性边界条件脚本，通过General_Mpc_Cube输入正确的模型和部件文件运行。(ABAQUS applies periodic boundary conditions to scripts)

说明：  一种基于概率的数据降维处理方法：Stochastic Neighbor Embedding(Based on the probability of data dimensionality reduction approach: Stochastic Neighbor Embedding)

用fortran 70实现数值积分，并实例计算了三个函数，导出了积分值和误差(The numerical integration is realized by FORTRAN 70, and three functions are calculated with examples. The integral values and errors are derived.)

将ABAQUS的ODB结果文件按照人为要求在文本文档中记录(On ABAQUS ODB results file records in a text document in accordance with human requirements)

本程序实现了基于最佳维纳滤波器的盲解卷积算法。维纳滤波将地震子波转换为任意所需要的形态。例如，像反滤波一样，可以设计维纳滤波器将地震子波转换为尖脉冲。但维纳滤波不同于反滤波，它是在最小平方的意义上为最 佳。基于最佳纳滤波理论的滤波器算法是人们熟知的维纳一莱文逊(Wiener—Levinson)算法。本程序提供了五种期望输出：零延迟尖脉冲；任一延迟尖脉冲；时间提前了的输入序列；零相位子波；任意期望波形。(Wiener—Levinson algorithm used in wiener filter. matlab with detailed note in Chinese.)

利用遗忘因子递推最小二乘法做的参数估计，介绍还算详尽(Forgetting factor recursive least squares method using the parameter estimates do)

多元GARCH的Matlab程序，用于计算GRACH(y,p,q)(Multivariate GARCH in Matlab)

说明：  本实验是利用卡尔曼滤波器实现一维匀加速运动的轨迹跟踪。卡尔曼滤波是一种时域滤波方法，它采用状态空间方法描述系统，算法采用递推机制，数据存储量小，在导航领域有成功的应用。(This experiment is the use of Kalman filter to achieve a one-dimensional constant acceleration of the trajectory tracking. Kalman filter is a time-domain filtering method, which uses state-space description of systems, algorithms using recursive mechanisms, data storage a small amount of success in the navigation area of the application.)

Evesen开发的洛伦兹模型耦合集合卡尔曼滤波算法(Lorenz model coupled with ensembled Kalman Filter)