mynewlms

激光谐振腔 自再现模型 条形腔 矩形腔 圆形腔(Since the laser resonator cavity rectangular cavity reconstruction model circular cavity strip)

在HHT变换后，可用于计算平均周期，即用整个序列的长度分别除以极大值点个数和极小值点个之后求平均(average period prediction)

Hilbert-Huang变换之EMD分解程序。可以直接运行，以及附有几个详细例子。可以用以对非线性非平稳信号的处理，效果理想。(Hilbert-Huang transform EMD decomposition process. Can be run directly, as well as with several detailed examples. Can be used for non-linear non-stationary signal processing, the results are satisfactory.)

Stephen Boyd编写的凸优化理论书籍，学习凸优化方法必备书籍(Convex Optimization By Stephen Boyd)

机器人机构的速度与加速度可以用通过程序来计算得出，方式更为简便(Robot body velocity and acceleration can be calculated by the program, more convenient way)

1.duishuzhengtai：产生对数正态分布 2.gaussian：产生数据量为n的两个相互独立高斯分布y1、y2 3.junyun：自定义 0-1的均匀分布，n代表数据量，一般要大于1024（蒙特卡罗） 4.ruili：瑞利分布,m是瑞利分布的参数,n代表数据量,n一般要大于1024 5.kaifeng：产生开丰分布，其中m代表开丰分布的自由度，n表示产生的点数量 6.tfenbu：本函数产生自由度为m，数据量为n的t分布。 7.weibuer：a=1时,是指数分布；a=2时,是瑞利分布(1.duishuzhengtai: generating lognormal 2.gaussian: generating a data quantity n of two mutually independent Gaussian distribution Y1, Y2 3.junyun: custom uniform distribution of 0-1, n represents a data amount, generally large in 1024 (Monte Carlo) 4.ruili: Rayleigh distribution, m is a parameter of the Rayleigh distribution, n representative of the amount of data, n is generally greater than 1024 5.kaifeng: generating open abundance distribution, wherein m represents an open-abundance distribution freedom of degrees of freedom, n is the number of points generated 6.tfenbu: This function generates m, the amount of data for n t distribution. 7.weibuer: a = 1, the exponential distribution a = 2, is a Rayleigh distribution)

matlab程序，粘滑运动分析，适合分析制动粘滑运动，适合初学者的最经典的程序(matlab program, stick-slip, suitable for analyzing the brake stick-slip, suitable for beginners to the most classic program)

matlab的上百个示例程序，有关GUI绘图，数值计算，矩阵运算，以及多个现成的实用实例程序。(hundreds of sample programs in matlab, the GUI graphics, numerical calculation, matrix operations, and a number of off-the-shelf practical examples of procedures.)

应用PCA进行特征提取和降维，可以应用于数据挖掘，机器学习，人脸识别上！(Application of PCA for feature extraction and dimensionality reduction can be applied to data mining, machine learning, face recognition on!)

this contain good description of OD DOA...IT COMPARES VARIOUS TECHNIQUES FOR BEAMFORMING