Ch4figs

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采用matlab平台实现常见的神经网络算法，实现聚类和分类功能(Neural network)

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计算两个区域的相关系数的平均值 速度比直接用regress函数 快很多很多(calculate the mean correlation coefficient of two areas)

非线性动力学系统中，基于改进的C-C方法的相空间重构参数选择(Nonlinear dynamical systems, based on the phase space reconstruction method to improve the CC parameter selection)

it is also a source code for SAODV protocol

关于图像增强的程序，用matlab软件实现。包括一些增强算法，例如直方图均衡化(On the image enhancement process, using matlab software. Including enhancement algorithms, such as histogram equalization)

read MIT ECG for the students(read ECG for the MIT students)

输入信号五个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，得到识别出的信号类别，本例为2PSK, 4PSK, GMSK, OQPSK, pi/4DQSK中的一个，还可以看Art网络的扩展性。(input signal instantaneous information on five characteristics : In the center is one of the instantaneous rate of the power spectral density of the maximum, is a center to the absolute value of the instantaneous rate of the standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component absolute standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component standard deviation, In the center is one of the non-weak signal of the absolute value of the instantaneous frequency standard deviation, the identification of signal type, The cases of two PSK, 4PSK, GMSK, OQPSK, pi/4DQSK of one, Art can be viewed network scalability.)

double_pendulum simulation in matlab