MATLAB

MATLAB操作极其简述，是书籍，供初学者参考(MATLAB operation is extremely brief, are books for beginners reference)

离散系统Z域分析 实验步骤： 主界面下进入实验六的“离散系统Z域分析”，输入分子多项式的系数向量 按照 z 降幂的顺序输入，如：，输入为。 输入分母多项式的系数向量，按照 z 降幂的顺序输入。 鼠标单击确定按钮，显示系统函数的幅频特性曲线，相频特性曲线。(Z-domain analysis of discrete-time systems experimental steps: the main interface into the six experiments the " Z-domain analysis of discrete-time systems" , enter the coefficient of polynomial vector elements z in accordance with the descending order of power input, such as:, input. Denominator polynomial coefficients input vector, z in accordance with the order of descending input power. Mouse click OK button, and display system function curve of amplitude-frequency characteristics, phase-frequency characteristic curve.)

利用差值法根据已经给定的多个数据点画图 得到五个图形(Using difference method has been given under a number of data points are five graphic drawing)

FOR HELP AND DOCUMENT FOR POWER SCLLLV

电磁场与电磁波课题阶段性研究以及公式推导(Electromagnetic Fields and Waves phased research topics as well as the derivation formula)

可利用MATLAB实现模糊神经网络仿真，不过这里还没有MATLAB源码，期待大家将其实现(Can make use of MATLAB realization of fuzzy neural network simulation, but no MATLAB source code here, we look forward to its realization)

在重构相空间的基础上计算吸引子的分形维时,合适的嵌入维m和时间滞后τ的选取至关重要.在虚假邻域概念基础上,本文给出了确定m和τ的方法.较之以前的方法,此方法更准确、简单、容易理解、易实施,对较小样本数据集也可靠.最后的应用实例验证了理论的正确性.(In the reconstructed phase space based on the calculation of the fractal dimension of attractor, the appropriate embedding dimension m and time lag τ selection is essential. In a mock neighborhood based on the concept, this paper presents the method to determine m and τ. Compared with the previous methods, this method is more accurate, simple, easy to understand, easy to implement on a smaller set of sample data is also reliable. The last application example to verify the theoretical correctness.)

一个详细介绍如何使用Matlab中的Simulink的PPT(A detailed description how to use Matlab in Simulink to PPT)

这是一个用于快速独立元分析的程序，调试可用(this is used for fastica)

This is a funciton programmed in matlab to Calculate Minimum Costs and Paths using Dijkstra s Algorithm. The function can input different data format. The output is easy to understand and can be used to analyze network feature for students to study.Several demos have been included in the source code.