2dQuant.tar

Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space DIM, the number of centres in the mixture model and the type of the mixture model, and returns a data structure MIX.

运用免疫算法中的克隆免疫算法来解决生产调度过程中的零等待问题，经运行后效果较好，放在这里让大家指正。(The use of immune algorithm in the cloning of immune algorithm to solve the production scheduling in the process of zero-wait problem, after running better-placed here so that everyone correction.)

VC++调Matlab的简易程序，调出Matlab的figure图(VC++ tune simple Matlab program, bring up Matlab' s figure diagram)

基于小波的音频水印嵌入代码。采用DB1小波(Wavelet-based audio watermark embedding code. Using wavelet DB1)

说明：  设{ ,k=0,1,2,…}为N（0，1）白序列， ， =0，1,2,…,1000 。求： ； (Let {k = 0,1,2, ...} white sequence of N (0,1) = 0,1,2, ..., 1000 Requirements: )

kalman滤波simulink仿真 Copyright (c) 2010, Yi Cao

Make the Huffman-tree from the lengths of the Huffman codes. The Huffman codes are also needed, and if they are known, they can be given as an extra input argument.

matlab编写的m序列产生器以及通过simulink7.01仿真实现的两个模型，最后给出了相关系数的计算代码(m prepared matlab serial generator as well as through two simulink7.01 simulation model, the correlation coefficient is given for calculating the code)

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.)

boltzman implement with matlab