code

sobel edge detection in matlab

vc与matlab7的混编，采用的混编方式是通过shared(vc matlab7 with the mixing of the way through the air shared)

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.)

maximum likelihood identification method

This function rotates the x-tick labels on a plot. An arbitrary angle can be specified for the text and the label justification adjusts appropriately to ensure the labels lie below the ticks.

一个火力目标分配的优化问题，matlab实现(A fire target allocation optimization problem)

说明：  数字波束形成算法 lms 最小均方误差 非常好(DBF digital beamforming least square LMS)

半监督覆盖程序，相关问题参加粗糙集条件属性约简程序，相关问题参加粗糙集条件属性约简程序，相关问题参加粗糙集(jueceshuxing)

Object Detection using Matlab

MATLAB CODE FOR CHANNEL EQULIZATION USING MATCHED FILTER