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getrnd
- 原创：随机抽样。从一系列的总体中抽取出指定数量的不重复样本点。-random sampling. From a range of the overall extraction of a specified quantity of sample points of non-repetition.
dividevec
- dividevec()用来重新随机抽取上述三种分类的数据，原来的顺序被打乱-dividevec () is used to re-random sample of the above three categories of data, the original order has been disrupted
U2
- 1到40的无重复随机抽样的程序，其中抽取数目为参数，可调节-1 to 40 repeated random sampling procedure, which extract the number of parameters can be adjusted
parzen_window
- 采用parzen窗函数方法对待估计的均值为0，方差为1的正态密度函数，随机抽取若干样本，估计概率密度函数-Window function method using parzen treat the estimated mean and variance of the normal density function, randomly selected from a number of samples, the estimated probability density function
minnute
- 五分钟求平均值,前五个数进行相加然后求取平均数，并可以对数值进行随机分段抽取-Averaging five minutes, five are summed and then strike the average number of
ML
- 最大似然法（Maximum Likelihood，ML）也称为最大概似估计，也叫极大似然估计，是一种具有理论性的点估计法，此方法的基本思想是：当从模型总体随机抽取n组样本观测值后，最合理的参数估计量应该使得从模型中抽取该n组样本观测值的概率最大，而不是像最小二乘估计法旨在得到使得模型能最好地拟合样本数据的参数估计量。-Maximum likelihood method (Maximum Likelihood, ML), also known as maximum likelihood estim
immunity
- 免疫遗传算法流程为： (1)随机产生初始父代种群A1 (2)根据先验知识抽取疫苗。 (3)若当前种群中已包含最佳个体，算法结束；否则进行以下步骤。 (4)根据抗体浓度和适应度进行复制。 (5)对当前第K代父代种群AK进行交叉操作，得到种群BK。 -Immune genetic algorithm process as follows: (1) randomly generated initial parent population A1 (2) vaccine based
Radix3_fft
- 主要实现了输入随机点数数据的基3频域抽取FFT算法(In this paper, we mainly implement the FFT algorithm for the base 3 frequency domain of input random points data.)
拉丁超立方抽样
- 拉丁超立方，去抽取样本，是一种从多元参数分布中近似随机抽样的方法，属于分层抽样技术，常用于计算机实验或蒙特卡洛积分等。(Latin hypercube sampling)