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数字通信原理基于matlab的仿真计算，希望对大家有用(Principles of digital communication matlab simulation based on the hope of useful)

transfer function for 0.3 overshoot

说明：  this is good code source for the main task in antenna study that is the optimization

测试样本集对每个模式进行加噪处理，噪声值为±0.1。若网络能对加噪模式进行正确分类，则认为该网络已训练完成。(Test sample set for each pattern plus noise processing, the noise value of ± 0.1. If the network can add noise to the model correctly classified, then that the network has completed the training.)

介绍了Matlab下的MPPT扰动观察法仿真中的S函数编写(Introduced under Matlab simulation MPPT perturbation and observation method S-function written)

解决了非线性函数的逼近问题,实现了BP神经网络在非线性函数逼近中的应用。得出了信号的频率与隐含点之间，隐含点与函数逼近能力之间的关系——隐含层神经元数目越多。(Solved the problem of nonlinear function approximation, and realized the application of the BP neural network in nonlinear function approximation. Between signal frequency and implicit points are drawn, implied the relationship between the point and the function approximation ability, the more number of hidden layer neurons. )

该代码可用于对红外图像的高低温图分别进行一点校正和两点校正(This code can be used for infrared images were a little high and low figure correction and two-point calibration)

the code focus interest kernel decomposition

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.

说明：  一个比较快速的阴影检测算法，基于HSV色彩空间(Shadow detection algorithm based on HSV color space)