mine2

面阵中二位角度估计unitary—esprit算法估计DOA(Face two Angle in the array is used to estimate the unitary estimates-esprit DOA)

a good work for implementation of Chebyshev filters

a new clustering algorithm source code in MATLAB

pso+bp matlab源程序，吐血推荐(Pso+bp matlab source code, hematemesis recommended )

In this project deals with the DVR how it controls the power system the fault

用蒙特卡罗仿真研究一个通信系统的误比特率BER。假设通信系统满足条件：信源输出的数据符号是相互独立和等概的；在发射机中没有进行脉冲形成；信道是AWGN信道(Using Monte Carlo simulation of a communication system bit error rate BER. Suppose communications systems to meet the conditions: the data source output symbols are independent, and so almost the no pulse in the transmitter in the form channel is AWGN channel)

DETREND removes the trend from data

使用PML吸收边界三维FDTD算法MATLAB代码(PML absorbing boundary using three-dimensional FDTD algorithm MATLAB 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.)

6轴机械手臂关于姿态的算子，有循转和平移齐次基本算子(6 axis robotic arm on the attitude of the operator, follow rotation and translation of homogeneous basic operator )