chapter3

CellProfiler is designed for biologists without training in computer vision or programming to quantitatively measure cells in thousands of images automatically. It has a user-friendly graphical interface. CellProfiler has a modular, flexible infrastructure which allows you to conveniently conduct a series of image analysis steps on thousands of images. While designed for biology applications, it can find any objects in images given the right adjustments to settings. It especially handles grids of spots well. It also can handle file-processing tasks like creating montages of images, renaming files, and creating web pages of images. It is easy to write new modules in Matlab.

通过PID技术，可以实现在各种扰动下的风电变桨。可以有效的弃风。(Through the PID technology, can realize the wind power is analyzed.studying under various disturbances. To abandon the wind.)

基于L阵的二维信号稀疏分解的DOA估计 应用稀疏分解方法进行二维DOA估计(Estimation sparse decomposition method based on two-dimensional signal-dimensional DOA estimation of sparse matrix decomposition L DOA)

matlab模糊神经网络，用来完成仿真功能，大家可以自己尝试一下(matlab neural network, used to complete the simulation, we can try it yourself)

MATLAB实现的单相双闭环ＰＷＭ整流器　　参数设置比较正确　波形出来也不错　就是进入稳态时间比较长(MATLAB to achieve double-loop single-phase PWM rectifier waveform parameters set by the more accurate is also a good time to enter the steady-state long)

间歇反应器的matlab源程序，化工应用实例，供大家参考学习。(Matlab source batch reactor, chemical application examples for learning.)

此代码利用高斯牛顿迭代法，对非线性函数进行参数辨识。可以对传递函数通过阶跃响应实验得到的数据进行迭代获得传递函数的参数(The code uses the Gauss-Newton iteration method to identify the parameters of the non-linear function. The parameters of the transfer function can be obtained by iterating the data obtained from the step response experiment of the transfer function.)

调用MATLAB工具箱分解信号 小波的一维分解(Calling MATLAB toolbox decomposed signal one-dimensional wavelet decomposition)

代码实现对图形的锐化处理，具有图形界面按键选择Roberts交叉算子、Sobel算子、Laplace边缘增强算子对图像进行锐化处理。(failed to translate)

说明：  精通MATLAB与C++混合程序设计所有的例子(Proficient in MATLAB and C++ mixed programming examples for all)