svm

一个自己编写的matlab程序，仅供大家学习参考(PLL I have written an example, we learn for reference purposes only)

面阵波束形成 两种方法 三维指向性 直接运行(Planar array beamforming methods of three-dimensional directional direct running)

时间序列分析G-P method to calculate the correlation dimension of Matlab (Mex version) not use "temporary separation," use of the correlation integral Mex documents fast(Time Series Analysis GP method to calculate the correlation dimension of Matlab (Mex version) not use )

16阶带通fir滤波器程序，处理加有白噪声的线性变频信号程序(16-order band-pass filter fir procedures to deal with white noise plus a linear frequency signal process)

Hello! i ll show that the code is used to recognize the face of someone, it s his job

这个是对PL-logdist和PL-lognormal的一个仿真。程序简单易懂，但是意义不小。有专门的画图子程序。(This is a PL-logdist and PL-lognormal a simulation. Procedures are simple, but the meaning is not small. Have a special drawing routines.)

说明：  根据前人研究成果可以证明，煤镜质组反射率各向异性对煤田构造特征具有指示意义，镜质组最小反射率可以指示构造主应力方向。然而，在实际测量中，如何得到真正的镜质组最大、最小反射率及其方位是其中的关键环节。利用现有的岩石有限应变椭球拟合方法进行镜质组反射率椭球体拟合不失为一种行之有效的方法，可以由此确定镜质组最大、最小、中间反射率及其三维空间方位。 将之前拟合得到的反射率椭圆看作岩石有限应变椭圆即二维应变，其由之前的统计方法测定得到，三个截面的数据对于拟合唯一应变椭球来说是过多的，因此不可避免出现误差，导致三个截面应变椭圆不通过同一个椭球的情况。为了从三个截面数据得到唯一的应变椭球，需要对得到的数据进行相容性调整。采用Oertel的方法，从每一测量参数在不同截面中的值是正态分布这一假定出发，利用加权最小二乘法进行误差调整。(According to results of previous studies may prove vitrinite reflectance anisotropy on structural characteristics have implications for coal, vitrinite reflectance may indicate tectonic minimum principal stress directions. However, in actual measurement, how to get real vitrinite maximum, minimum reflectivity and its orientation is the key link. Conduct vitrinite reflectance ellipsoid fitting regarded as a proven method using existing rock finite strain ellipsoid fitting method can thus determine vitrinite maximum, minimum, intermediate reflectance and dimensional spatial orientation . Before fitting the reflectance of finite strain ellipse oval rock that is seen as a two-dimensional strain, as determined by statistical methods which have been before the data fit only for the three sections of the strain ellipsoid is excessive, and therefore can not to avoid errors, resulting in three elliptical cross-section does not pass through the same strain ellipsoid situation. In order to obtai)

LLE算法基于swiss roll与s-curve数据集的运行结果，选取的样本点数为N=2000、k=12、 d=2进行的降维运算的结果,由运算结果可知在不同的数据集上LLE算法依然能够很好地保持数据在降维前后结构的特点。(The LLE algorithm is based on the running results of Swiss Roll and S-curve data sets, and the number of selected sample points is the result of dimensionality reduction of N=2000, k=12 and d=2. It is known that LLE algorithm still can maintain the characteristics of the data before and after dimensionality reduction well on different data sets.)

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This function provides equally sampled timeseries.In a number of cases,strong motion records in Volume 1 format do not correspond to equally sampled time series. In order to solve this problem new strong motion records equally sampled are created with step equal to the minimum digitization time interval of the original time series of the V1 format.