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countor extraction and 3d plotting

应用共轭梯度法综合优化交叉耦合滤波器。参考文献<Synthesis of Cross-coupled’Resonator Filters Using an Analytical Gradient-Based Optimization Technique >Smain Amari(Synthesis of Cross-coupled’Resonator Filters Using an Analytical Gradient-Based Optimization Technique _Smain Amari-)

说明：  LDPC码的BP算法译码MATLAB程序(LDPC decoding algorithm BP MATLAB)

自动控制原理实验指导书，适用于自控课程的实验研究，包括多个经典实验及其实验结果。(Automatic control theory guide books, suitable for controlled experimental study courses, including a number of classic experiments and their results.)

说明：  电气的同学常用的牛顿潮流法的计算过程及其算法原理(Newtonian trend method)

说明：  使用遗传算法求解带时间窗的车辆路径优化问题(VRPTW-GA Genetic Algorithms for VRPTW Solution, Running, with Description)

trainig neural networks

this file includes a matched filter implementation in matlab in a radar system

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.)

线性调频信号匹配滤波仿真，给出了正确的相频特性，并对比了源信号与匹配核的幅频，相频特性。(LFM matched filter simulation, the correct phase frequency characteristics, and compares the source signal and the amplitude-frequency matching nuclear, phase frequency characteristics.)