GLCM_Features1

1) 已知x=[1:15], y=[12 34 56 78 99 123 165 198 243 277 353 345 303 288 275], 用多项式进行拟合，给出拟合多项式，(所选拟合多项式阶数不同，拟合结果不同，请你选择适当的阶数进行拟合)，并绘出原始数据点、拟合曲线和95％置信区间（confidence bounds）的图形 . 2) 根据下面数学模型建立仿真模型，并在一个示波器中把它们的波形仿真出来。 (1) are known to x = [1:15], y = [12 34 56 78 99 123 165 198 243 277 353 345 303 288 275], with polynomial fitting, given the polynomial fitting, (the election order polynomial fitting different fitting results to differ, please select the appropriate order of fit), and draw original data points, fitting curve and 95 confidence interval (confidence bounds) graphics .2 ) In accordance with the following mathematical model for the establishment of simulation model, and in an oscilloscope waveform in their simulation out.)

分数阶统计是现代统计信号处理的重要内容，这里是alpha、beta分布的情况，仿真程序(Fractional statistics is an important content of modern statistical signal processing, where alpha and beta distribution emulator)

Regularized Linear Discriminant analysis. EEG signal

雷克子波小程序,这个程序可以直接调用，包含振幅谱和相位谱(Wavlet of Ricker used in matlab)

通信系统仿真原理及其应用第五章升余弦例子(Principles of Communication System Simulation and its application Chapter V examples Raised Cosine)

cardiovascular matlab

该程序实现时域LMS算法，并用统计的方法仿真得出不同步长下的收敛曲线(The program to achieve time-domain LMS algorithm, and simulation statistics do not come under the simultaneous convergence of a long curve)

广义预测控制是一种最具代表性的预测控制算法之一，本文通过对广义预测控制的稳定性、鲁棒性和实时性分析，得知它控制方程复杂、计算量过大、不利于实时控制。为此，广义预测控制算法，然后进行参数选择的研究，并针对冷连轧机张力系统进行了仿真，最后介绍了广义预测控制算法的其它改进方法。(Generalized predictive control is one of the most representative predictive control algorithms. This paper analysis the stability, robustness and real-time, But it has lots of calculations and unfavorable real-time. So this paper gives the algorithm of based on BP neural network of generalized predictive control. Then it analysis the system and the parameter selection, do some simulations to the cold continuous rolling machine tension system.)

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求解lyapunov指数，适用于一般的方程求解，是通用的函数方法源代码。(Solving lyapunov index for the general equation is a function of common method source code.)