资源列表
LDA
- LDA是一种特征分类方法，这种方法是一种线性的方法。-LDA is a feature classification method, which is a linear method.
yangtiaochazhi
- 三次样条插值法用于特征分析的时候，而且可用于emd 方法中。-Cubic spline interpolation method for feature analysis, and can be used in the emd methods.
emd
- emd 方法可将一些非线性信号分解成若干个信号，从而方便您对分解后的信号作特征提取。-emd method of nonlinear signal decomposed into a number of signals, and thus easy to extract the signal for the characteristics of the decomposition.
sampen
- 样本熵在信号分析中有很重要的作用，其主要用来提取非线性特征，从而用于特征分析。-Sample entropy has a very important role in signal analysis, which is mainly used to extract the nonlinear characteristics for analysis.
boost_current
- boost电路matlab仿真 采用电流闭环-boost circuit the matlab simulation using current closed loop
MPC_DMC
- 动态矩阵预测控制的matlab程序，简单易懂。-Dynamic Matrix Control matlab program, easy to understand.
DMC
- 动态矩阵预测控制DMC算法的matlab程序，单输入单输出的。-Dynamic Matrix Predictive control the DMC algorithm of matlab program, single-input single-output.
diedaixuexi
- 迭代学习控制算法的matlab程序，单输入单输出的。-Iterative learning control algorithm matlab procedures, single-input single-output.
MAC
- 预测控制MAC算法的matlab程序，多步预测，简单易懂。-Forecast control MAC algorithm matlab program, multi-step prediction, simple and easy to understand.
first
- mm1排队系统 自行对比服务率和到达率之间的关系-the mm1 queuing system self-comparison service rate and the relationship between the arrival rate
OTSU
- otsu算法 一维和二维 测试可以使用 用于灰度图分割-otsu one-dimensional and two-dimensional test algorithm used for grayscale segmentation
ybs
- 计算时间序列样本熵，一种很有效的算法，依据算法步骤而编译-Calculate time series sample entropy