MATLAB

MATLAB软件系统控制彷真方法祥解.rar 对于实现算法设计的初学者来说是很好的老师哦：）(MATLAB software system control simulation method祥解. Rar for the realization of algorithm design is a good beginner s teacher oh:))

matlab实现三维MUSIC算法，帮助实现数字信号处理算法理解的入门(matlab-D MUSIC algorithm implementation, digital signal processing algorithms to help achieve understanding of the entry)

一个三维的有限元程序代码， 程序里有详细的注释，包括网格的剖分等 参考文献，输入文档。(A three-dimensional finite element program code, program, there are detailed notes, including grid mesh and other references, the input document.)

以上代码是求解椭圆微分算子的特征值问题的Matlab源代码，采用有限元法的思想来编写的，程序计算结果和理论是相符的。(The above code is to solve the elliptic differential operator eigenvalue problem of the Matlab source code, using the finite element method to write the ideas, procedures, results and theoretical calculation is consistent.)

plotting training data from the "unknown function" G(x,z)

cc meth0d 用于计算混沌时间序列的延时和维数(cc meth0d)

经验模态分解，matlab实现，用于信号的降噪处理，提取特征值处理等经验模态分解，这是用汉语注释的EMD程序，很不错的。％ 语法 ％ IMF = EMD(X) ％ IMF = EMD(X,..., Option_name ,Option_value,...) ％ IMF = EMD(X,OPTS) ％ [IMF,ORT,NB_ITERATIONS] = EMD(...) (This is annotated in Chinese EMD procedures, very good. Syntax IMF = EMD (X) IMF = EMD (X ,..., Option_name, Option_value ,...) IMF = EMD (X, OPTS) [IMF, ORT, NB_ITERATIONS] = EMD (.. .(Empirical mode decomposition, matlab, used in signal noise reduction processing, extraction of characteristic value processing, etc)

说明：  本案例给出了振动信号的时域信号分析，fft分析，低通滤波分析和Hilbert包络分析代码，并将分析结果展现在一个图中进行对比。(This case gives the time domain signal analysis, FFT analysis, low-pass filter analysis and Hilbert envelope analysis code of vibration signal, and shows the analysis results in a figure for comparison.)

说明：  对一个二阶模型模型进行脉冲响应辨识，并且通过搭建simulink模型取得了两组输入-输出数据，一组是在有高斯噪声的干扰下获得u1-y3，另外一组是在没有高斯噪声的情况下获得的u1-y1，对这两组数据进行基于haar小波基的脉冲响应辨识，与实际模型的脉冲响应相比较（注：三个excel表必须放在matlab/work文件夹下才能运行）(Second-order model to a model of impulse response identification, and achieved through building simulink model for two groups of input- output data, a Gaussian noise in the interference with access to u1-y3, another group in the absence of Gaussian noise of access to the u1-y1, these two sets of data haar Wavelet-based impulse response identification, and the actual model of the impulse response comparison (Note: Three excel table must be on the matlab/work folder to run ))

Imformation about DAB