pca_demonstration

The paper presents a Matlab package for the linear time-(in)dependent Schr¨odinger equation, based on the Hermite spectral method. The matrix form of the discretized problem is suitable for the linear algebra capabilities of Matlab. The high accuracy and efficiency of the algorithm is proved by many examples taken from the literature.

matlab教程，内容为ppt格式的，对于matlab入门有详细的介绍(matlab tutorial ppt format content, for a detailed description entry matlab)

matlab 7.0基础教程 清华大学出版社 孙祥 徐流美 吴清编著(stream America, Matlab 7.0 Essentials Tsinghua University Press Sun Xiang Xu Wu Ching-ed)

Newton Raphson load flow y bus formation

matlab m file in communication

simple code for inserting the pilots

MATLAB中gcf、gca以及gco的区别 有许多使用者会弄混淆 这里给出了详细的差别(Difference in MATLAB gcf, gca and gco have many users will get confused here gives a detailed differences)

包含三种不同的振动信号去噪方法，另附最新的振动信号降噪文献(Contains three different vibration signal de-noising method, attached the latest vibration signal noise literature)

fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!. Given the samples of a log-normal distribution, the PDF parameter is found fits data to the probability of the form: p(x) = sqrt(1/(2*pi))/(s*x)*exp(- (log(x-m)^2)/(2*s^2)) with parameters: m,s format: result = fit_ML_log_normal( x,hAx ) input: x - vector, samples with log-normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields m,s - fitted parameters CRB_m,CRB_s - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

TSP问题（货郎担问题，旅行商问题）的模拟退火算法通用malab源程序 f目标最优值,T最优路线,d距离矩阵,t0初始温度,tf结束温度