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《MATLAB神经网络30个案例分析》中的第6个例子，案例6 PID神经元网络解耦控制算法_多变量系统控制。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 6 examples, case 6 _ multi-variable PID neural network decoupling control algorithm control system. Hope to have certain help to everybody! )

本仿真做了脉冲压缩雷达的处理过程，包括加窗处理和匹配处理，改仿真代码很精致，希望能够帮助大家；(The simulation pulse compression radar processing, including windowing processing and matching processing)

Maximum Likelihood Decoding

使用matlab语言实现的时域有限差分算法(finite differentiate time domain)

A genetic implimentation for 2 class input classification

adaptive clustering algorithm version 3

This function (trainClassifierExample.m) is a tutorial/example on how to create a user-defined vision.CascadeObjectDetector detector. This function uses an attached webcam to take video of a user and builds a detector on their face. From this example hopefully it is clear how to generate detectors for any general object class. Faces are used in this example since the labeling can be done autonomously using a pre-trained face detector

说明：  模式识别及MATLAB实现学习与实验指导 源代码 杨杰 郭志强编(the source code of PATTERN RECOGNITION)

现代社会发展要求通信系统功能越来越强，性能越来越高，构成越来越复杂；另一方面，要求通信系统技术研究和产品开发缩短周期，降低成本，提高水平。这样尖锐对立的两个方面的要求，只有通过使用强大的计算机辅助分析设计技术和工具才能实现(Social development of modern communication systems require increasingly strong, the performance is getting higher and higher, which constitute more and more complex On the other hand, communications systems technology research and product development to shorten the cycle, reduce costs, improve the level. This in sharp opposition to the two requirements, only through the use of powerful computer-aided analysis and design techniques and tools can be achieved)

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