pfm_gongjing

介绍matlab各种常用命令，让初学者轻松从入门到精通的电子书。(Matlab introduce a variety of commonly used commands, so that easy for beginners from entry to master e-book.)

说明：  对k-medoids与qpso结合的算法进行改进。选择调用qpso优化，降低运行时间，提高算法的执行效率。(Pairs of k-medoids algorithm combined with the qpso improvements. Select call qpso optimization, reducing operating time and improve the efficiency of the implementation of the algorithm.)

基于Matlab中的simulink画一行随机数的频谱(Based on the spectrum of the random number draw a line in Matlab Simulink)

粒子群算法优化的详细讲解和实例应用，欢迎下载(Particle swarm optimization algorithm and explain in detail the application example, welcome to download)

Reduccion por metodo de gaus jordan

wiggle plotting the segy format for seismic data set

基于FFT的功率谱分析程序设计与应用 2）对实验所采集的转子振动信号进行频谱分析 2．讨论： 1) 信号经过均值化处理或不经过均值化处理的结果比较 2）采用不同窗函数时的谱结果（矩形窗函数, 汉宁窗函数，汉明窗） 3）典型函数的频谱（矩形窗函数, 汉宁窗函数，直线，阶跃函数，δ函数，方波，三角波等） 4）整周期和非整周期采样时两者的比较 5）讨论实验结果 (Based on the FFT power spectrum analysis of program design and Application2) on experimental collection of the rotor vibration signal spectrum analysis2 discussion:1) the signal through the mean treatment or not after a mean treatment results comparison2) using different window function spectral results ( rectangle window, Hanning window function, the Hamming window )3) the typical functions of spectrum ( rectangle window, Hanning window function, linear, step function, function, square wave, triangular wave)4) the whole cycle and non-integer-period sampling time comparison5) discussion of experimental results)

回归分析中，检验自变量的重要性，将变量一个一个引入引入变量的条件是其偏回归平方和经检验时显著的，在引入新变量的同时，对已入选的变量逐个检验，将不显著的变量剔除。(The importance of the independent variables of regression analysis, test, introducing variable is introduced one by one into the condition of variable is the partial regression sum of squares in significantly after inspection, and at the same time of introducing new variables, for the selected variables one by one test, will not be significant variables.)

Interpolacja medianowa Lagrangea

用MATLAB语言编写的pade近似程序，本人保留版权(the analysis of pade)