Kmeans

amplitude shift keying along with the result

搭建OFDM通信系统的框架，脉冲响应的相关分析算法并检验，该函数用来计算任意函数的一阶偏导数(数值方法)。( Build a framework OFDM communication system, Related impulse response analysis algorithm and inspection, This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods).)

Analysis of PHY waveform Peak to Mean Ratio and Impact on RF Amplification

利用二次插值法进行一维搜索，得出最小值，通过抛物线法实现区间识别(Quadratic interpolation method using a one-dimensional search, the minimum value obtained by the parabola method to achieve Interval Recognition)

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.)

自己编的一个matlab GUI小程序，实现了excel表格数据的调用和显示，并对调用的数据进行计算，显示结果。(Oneself make up a small program matlab GUI, realized the excel form data calls and display, and to call data calculation, show the results.)

Defect detection in textured materials using Gabor filters

实现经典谱估计的matlab程序（包括BT法，周期图法，分段周期图法等等）(Achieve classical spectrum estimation matlab program (including BT France, periodogram, segmented periodogram method, etc.))

用于本科大四毕业风力机气动设计工作，采用改进的Wilson设计方法(Used for pneumatic design of graduated wind turbine)

利用自相关函数可以进行分析时间序列里面存在的内部特征信息，可以分析这些得到自己有用的信息。(Using the autocorrelation analysis of time series can exist inside the internal characteristic analysis of these information, can get useful information.)