a_guide_to_matlab

学习期间老师布置的作业，一些simulink基础的DSP应用。英国Strathclyde大学的课程教学。(Studying teacher assignments, some simulink-based DSP applications. Strathclyde University, UK Teaching.)

说明：  牛顿迭代法对于解决非线性方程应该有很重要的作用吧(Newton iterative method for solving nonlinear equations should have a very important role it)

说明：  用DCT算法做数字水印，水印为伪随即序列。对整个图做DCT变换(DCT algorithm used as a digital watermark, watermark for the pseudo-then sequence. The entire plan to do DCT)

Read a file into a matrix and display it on the screen using the MATLAB commands imagesc and axis.

backstepping方法设计例子，对于初学者为不错的样例，我本人就是通过这些练习起来的。很有效(The backstepping method design examples for beginners is a good sample, I was up by these exercises. Very effective)

说明：  用于计算幂率分布幂指数程序，在给定的一组分布中，判断该分布是否服从幂率分布(Used to calculate the power law distribution of power index procedure)

利用保留交叉验证(hold-out)的特征选择，有筛选排序的功能，并最终可以输出对应特征下标。(The use of cross-validation reserved (hold-out) feature selection, there is sort of filtering function, and eventually you can output the corresponding feature subscript.)

小波矩的matlab代码，主要用于全局特征提取使用，比较简便(Wavelet Moment matlab code, mainly for global feature extraction using relatively simple)

Matlab绘图，希望对各位有用 实验及其答案(Matlab graphics)

（1） 本系统用到四种神经网络对漏电嫌疑系数进行预测，分别是BP神经网络、RBF神经网络、GRNN神经网络、Elman神经网络，通过对神经网络结构参数的设置和调试，可以得到很好的预测效果，实际值和预测值之间的误差能达到5 以内。 （2） 本系统使用matlab做GUI界面，在界面上就可以分别对这四种神经网络的结构参数进行设置，从而可以调整神经网络的结构，达到较好的预测精度。 ((1) The system used four neural network to predict the suspected leakage coefficient, respectively, the BP neural network, RBF neural network, GRNN neural network, Elman neural network, the neural network structure parameter setting and commissioning, can get very good prediction, between the actual and predicted values ​ ​ of error of less than 5 . (2) the use matlab to do the GUI interface, the interface can each of these four neural network structure parameters set, the structure of the neural network, which can be adjusted to achieve better prediction accuracy.)