statistic_errors

KPCA是一种非线性的盲源分离方法，很好用，推荐大家下载！(KPCA is a nonlinear blind source separation methods, very good, and recommend everyone to download!)

有限元分析源代码，能分析梁单元、膜单元、壳体单元等常用的有限元单元，并能计算模态、振型等(Finite element analysis of source code, capable of analyzing beam element, membrane element, shell element, such as commonly used finite element module, and the calculation mode, vibration mode, etc.)

常微分方程数值解法，又是一个数值分析的常用算法(Numerical Solution of ordinary differential equations, numerical analysis is a common algorithm)

新建复数类进行复数运算，重载+、=+、*、/等运算符用于复数间的运算。(New complex class complex operation, overloading+ =+,*,/operator for computing the plural.)

说明：  算法知识讲解，是一本不错的算法入门级教材的pdf版本(This is a good introduction to algorithm)

说明：  微分进化算法中的其中两个子程序，还有未上传(Differential evolution algorithm)

计算岩石表面裂隙宽度并求取其表面粗糙度系数(Calculate the rock surface crack width and strike the surface roughness coefficient)

SAP2000软件具有框架单元、索单元、板单元、壳单元、平面单元、实体单元、连接单元、铰单元等单元，提供线性和非线性、静力和动力分析，可以进行静力分析、振型分析、反应谱分析、时程分析、曲屈分析、移动荷载分析、稳态分析、功能谱密度分析、静力Pushover分析、施工顺序加载分析等。 SAP2000是通用有限元分析与设计软件，适用于桥梁、工业建筑、输电塔、设备基础、电力设施、索膜结构、运动场所、演出场所等特种结构。 (SAP2000 software has a frame unit, cable unit, plate elements, shell elements, plane elements, solid elements, connecting elements, hinge unit and other units to provide linear and nonlinear, static and dynamic analysis, static analysis, vibration type of analysis, response spectrum analysis, time history analysis, buckling analysis, the moving load analysis, steady-state analysis, spectral density function analysis, static Pushover analysis, construction sequence loading analysis. SAP2000 is a general-purpose finite element analysis and design software for bridges, industrial buildings, transmission towers, equipment foundations, electrical facilities, cable-membrane structures, sports facilities, venues and other special structures.)

数据模型归一化，模态振动，分析了该信号的时域、频域、倒谱，循环谱等,用于信号特征提取、信号消噪。( Normalized data model, modal vibration, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. For feature extraction, signal de-noising.)

说明：  对时间序列进行滤波，去掉噪声，得到平滑后的数据(Filters a time series via Lanczos method (cosine filter).)