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basic segmentation

线性反演方法中的马夸特反演算法 matlab程序(Linear inversion method of Marquardt inversion algorithm matlab program)

包括主成分分析、因子分析、贝叶斯分析，有详细的注释，BP神经网络用于函数拟合与模式识别。( Including principal component analysis, factor analysis, Bayesian analysis, There are detailed notes, BP neural network function fitting and pattern recognition.)

用于混沌分析的matlab程序，包括各种标准混沌吸引子的产生，相空间重构参数选择、混沌预测等。(Chaotic analysis for matlab procedures, including a variety of criteria for selecting the chaotic attractor, phase space reconstruction parameters, such as chaotic prediction.)

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

这是一个matlab代码包，里面包括一百多个数学问题的求解方法，非常实用(this package of matlab code contains more than 100 mathematical problem s solutions)

K均值聚类用matlab实现源程序，可用于其他算法的结合与实现(K-means clustering using matlab)

一个变步长仿射投影算法，包括论文及仿真代码，已调试通过(A variable step-size affine projection algorithm, including the papers and the simulation code, has been debugged)

精通mantlab7这本书的例子！1-5部分(Proficient mantlab7 examples of this book! Part 1-5)

利用m序列生成跳频序列并用于跳频通信，并给出误码率曲线(Use of m sequences generated hopping sequence and used for frequency hopping communications, and give the bit error rate curve)