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matlab GUI教程 方便大家学习 很好的一本书(matlab GUI to facilitate them to learn a good tutorial book)

（实例171）监控上网过程,可以实现在上网过程中的控制((example 171) monitoring process online, the Internet can be achieved in the process control)

Matlab的常用算法，为初学者提供了学习的实例，十分有用，网上很难找到的！(Matlab algorithms commonly used for beginners to learn the examples, very useful, online hard to find!)

这是QAM信号和PSK信号产生程序，可以生成16-QAM,32-QAM,64-QAM和M进制psk信号。(This is PSK and QAM signals a process can generate 16-QAM ,32-QAM. 64-M and 229 QAM signals psk.)

心电信号R波峰值提取算法，抗干扰能力非常强。(ECG R-wave peak extraction algorithm, anti-interference ability is very strong.)

rs编码的matlab程序，很详细，方便初学者学习(rs encoded matlab procedures, very detailed, easy for beginners to learn)

F16气动数据，开环仿真，包括操作性及稳定性数据，前缘襟翼控制参数等。(F16 aerodynamic data, the open-loop simulation, including operational and reliability data, leading-edge flap control parameters.)

给定一特定信噪比，检测单节点在这一信噪比的虚警概率随检测概率的变化仿真曲线图。(Given a specific signal-to-noise ratio, the detection of a single node in the signal-to-noise ratio of the probability of false alarm detection probability changes with the simulation graph.)

例1 采用动量梯度下降算法训练 BP 网络。 例2 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。(Example 1 uses the momentum gradient descent algorithm to train the BP network. Example 2 uses the Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, the LM optimization algorithm (trainlm) and the Bayesian regularization algorithm (trainbr), to train the BP network to fit a sine sample with white noise data. )

说明：  非常好的一本关于图像处理的书籍冈萨雷斯数字图像处理MATLAB版.中文版(A very good book on image processing Gonzalez Digital Image Processing MATLAB version. Chinese)