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很详细的Matlab信号处理书籍，详细介绍了Matlab在信号处理方面的应用，很有参考价值(A good testbook about signal processing in Matlab. it contains a lot of application in signal processing. it is very useful.)

说明：  本实验处理一幅欠曝光图片，经过处理后，图像清晰可观(In this study, dealing with a less-exposed image, after processing, the image clear and substantial)

菜单的仿真，通过修改菜单可以修改自己需要修改的参数，例如PID(Simulation menu, the menu can be modified by modifying the need to modify the parameters of their own, such as PID)

小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions) (Wavelet neural network source code: 1. Construction of the nonlinear function: at nninit_test.m 2. Wnn the direct use of nonlinear approximation: Wnn_test.m, (internal call wavelet function) 3. Genetic algorithm optimized approximation: GA_Wnn_test. m (internal call genetic algorithms, initialization, fitness, decoding function)-genetic algorithm optimization WNN source: 1. Construction of the nonlinear function: nninit_test.m at 2. WNN directly with nonlinear approximation: Wnn_test.m. ( internal called wavelet function) 3. Genetic Algorithm optimization approach: GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions))

一种改进的LSB Steganography 以抵抗“RS分析法”和GPC Steganalysis(LSB Steganography against RS and GPC)

说明：  正交匹配追踪(OMP)算法的MATLAB函数代码(Matlab function code of OMP algorithm)

Matlab中没有现成的Lagrange插值函数，必须编写一个M文件实现Lagrange插值。 设n个节点数据以数组x0,y0 输入（注意Matlat的数组下标从1开始），m 个插值点以数组 x输入，输出数组y 为 m个插值。 编写一个名为lagrange.m的M文件。(Matlab is not off-the-shelf Lagrange interpolation function, we must realize the preparation of an M file Lagrange interpolation. N nodes based data to an array of x0, y0 input (Note Matlat subscript of the array starting at 1), m a x interpolation points to the array input and output array y for m months interpolation. Lagrange.m the preparation of a M-file.)

说明：  时域模态参数识别方法，有效的识别时域信号 并提取模态参数。效果较好(Time-domain modal parameter identification methods, and effective identification of time-domain signal and extraction of modal parameters. Better-)

说明：  《MATLAB时频分析技术》例题matlab编程实现第十四章其他例子(err)

This document is about power switched reluctance motor.