dec_to_dianjingdufudian

基于Visual C++的地震信号处理程序源代码，包括常用的FFT和Hilbert变换代码。(Visual C++ based on the seismic signal processing program source code, including the commonly used FFT and Hilbert transform code.)

生成指定两个数值间的多个随机数，随机数的个数用户自己输入，结果放在动态数组中(produce random)

This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real) To compile: ICC KMEANS.CPP <enter> (This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector]- vector N (real) To compile: ICC KMEANS.CPP <enter> )

说明：  将GNSS RINEX数据转换为电离层总电子含量(GTEX格式)(Convert GNSS RINEX data to Ionospheric Total Electron Content (GTEX format))

说明：  常用的matlab代码，非线性方程组求解，基本可以满足大学和研究生常用代码(Common Mathematical Codes)

一个采用FLUENT计算气体-液体两相流的算例，附件文件可以直接用FLUENT打开，并附带了计算结果截图。(FLUENT is calculated using a gas- liquid two-phase study, attachment files can be opened directly by FLUENT, and the calculation results with the screenshot.)

based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to the minimum representation error. While the importance of sparsity is much emphasized in SRC and many related works, the use of collaborative representation (CR) in SRC is ignored by most literature.

用于建立主成分分析模型，这是一个好用的频偏估计算法的matlab仿真程序,用于时频分析算法。( Principal component analysis model for establishing, This is a useful frequency estimation algorithm matlab simulation program, For time-frequency analysis algorithm.)

SOLA-VOF program solving Navier-Stokes equation with free surface by volume of fluid method

自制的计算器，可实现加减运算，清除，后退等功能(Homemade calculator, can realize the addition and subtraction, clear, back, etc)