kmedoids

matlab从入门到精通第4章书后源码对初学者很有帮助(matlab)

overlap addition for input sequence long

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.)

matlab的学习教程，里面含有很全面的介绍教程是ppt格式的，很容易理解，有利于初学matlab的同学的学习(matlab learning tutorial, which contains a very comprehensive introduction tutorial ppt format, it is easy to understand, is conducive to learning for students to learn matlab)

矢量控制方法在matlab/simulink中的仿真模型。详细且基础，有助于新手学习。(Vector control method in matlab/simulink the simulation model. Detailed and foundation to help novices learn.)

计算光子晶体光纤的有效折射率程序，可以得到有效折射率随波长变化图(Calculate the effective refractive index of the photonic crystal fiber program, you can get change in the effective refractive index with wavelength)

MATLAB系统仿真三维平面画图程序设计MATLAB simulation program design three-dimensional graphic drawing(MATLAB simulation three-dimensional graphic drawing program designed MATLAB simulation program design three-dimensional graphic drawing)

用改进pso求解贷款方面程序，希望能对大家有帮组(Pso solved by improved lending procedures in the hope we have helped groups can)

SPARC Assembly Language Reference Manual

This function calculates the curvature of a 2D line. Reference￡oS. Hermann and R. Klette. Multigrid analysis of curvature estimators. Proc. Image Vision Computing New Zealand, 108¨C112, 2003. by Jianfei Pang k = CurvatureEstimation(list,b,f) inputs, list : A M x 2 list of line points. fn: The number of forward points that were chosen to calcute. bn: The number of backward points that were chosen to calcute. outputs, Ei : M x 1 Curvature values thetai:M x 1 angle values Example [Ei,ti]=CurvatureEstimation(test,4,4)