watermarking

　研究了基于滤波器组的单载波频域均衡技术的基本原理和实现方法,通过系统对比基于滤波器组的方法与基于FFT方法的异同之处,从其产生的机理上阐明了基于滤波器组的单载波频域均衡技术能够克服FFT 方式的主要缺点的原因(Of filter-based single-carrier frequency domain equalization technology, the basic principle and method, through the system, filter-based approach compared with the FFT method based on the similarities and differences between, from production to clarify the mechanism of the filter-based single-carrier frequency domain equalization techniques to overcome the main drawback of FFT method because)

单级倒立摆的智能控制以及实验研究 提供了较好的实验方案以及结果(Inverted Pendulum on Intelligent Control and experimental studies provide good experimental program and results)

先进PID控制及其MATLAB仿真，第二版的源码，对于学习控制仿真很有帮助(PID control)

dynamic voltage restorer with five level diode clamp inverterdynamic voltage restorer with five level diode clamp inverterdynamic voltage restorer with five level diode clamp inverter

说明：  matlab模拟退火算法工具箱，很好的解决了matlab没有专门的工具箱的问题(Simulated annealing)

用来求解某一函数的梯度，维数可以很大，上万维也可以(Used to solve the gradient of a function, the dimension can be large, on the World Wide Web can also be)

联邦滤波器三个通道滤波后数据融合结果，并考虑了丢包，能对高斯噪声及非线性滤波有较好的处理。(Federal filter three channel filtered data fusion results, taking into account the loss can Gaussian noise and nonlinear filtering process better.)

阵列信号处理的工具箱，可以建立天线和分析接受信号(Array signal processing toolbox, you can create an antenna to receive and analyze signals)

说明：  matlab 常用子程序 包括解方程，统计推断等 适合于初学数值方法的(common subroutines, including solving equations matlab, statistical inference and other numerical methods suitable for beginners)

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.)