fluentcas

c++算法源代码，主要是POJ上面的算法，根据标号可以找到。(c++ algorithm source code, POJ above algorithm, based on the label can be found.)

c语言程序编写在经验模态分解，包含三次样条(c language programming in the empirical mode decomposition, contains the cubic spline)

利用abaqus软件建模，然后将inp文件导入flac软件中。(ABAQUS software is used to model, and then the InP file is imported into the FLAC software.)

改进的冒泡排序的VC++源程序，希望大家能够从中受益！(improved Bubble Sort VC source, we hope to benefit from!)

说明：  本程序用在测试采煤机煤矸识别系统中，验证小波算法(Wavelet Algorithm for caving coal)

基于现代时间序列分析方法的多传感器观测融合Kalman滤波器与Wiener滤波器.NH格式论文。(time seq analysis with kalman and winner filter.)

Orthogonal Polynomials Approximation 数值分析，计算正交基多项式的系数 (Given a function f and a set of m >0 distinct points . You are supposed to write a function to approximate f by an orthogonal polynomial using the exact function values at the given m points with a weight assigned to each point . The total error must be no larger than a given tolerance. Format of function int OPA( double (*f)(double t), int m, double x[], double w[], double c[], double*eps ) where the function pointer double (*f)(double t) defines the function f int m is the number of points double x[] contains points double w[] contains the values of a weight function at the given points x[] double c[] contains the coefficients of the approximation polynomial double*eps is passed into the function as the tolerance for the error, and is supposed to be returned as the value of error. The function OPA is supposed to return the degree of the approximation polynomial. Note: a constant Max_n is defined so that if the total error is still not small enough when n = Ma)

合肥工业大学数值分析（计算方法A）中高斯—塞德尔算法的实现(Gauss- Seidel Algorithm)

用mfc实现计算器的基本操作，支持键盘输入，并保留xp风格,可计算平方，幂，时间显示等操作(With mfc achieve the basic operation of the calculator, support for keyboard input, and retain xp style, calculates the square, power, time display and other operations)

关于非线性离散系统辨识，小波包分析提取振动信号中的特征频率，有小波分析的盲信号处理。( Nonlinear discrete system identification, Wavelet packet analysis to extract vibration signal characteristic frequency, There Wavelet Analysis Blind Signal Processing.)