MITmatlabmslg

解决背包问题 自动求解最大价值 利益最大化问题(Automatically solve the Knapsack Problem to maximize the interests of maximizing the value of solving the problem)

触发器，eda.在实际的数字系统中往往包含大量的存储单元，而且经常要求他们在同一时刻同步动作，为达到这个目的，在每个存储单元电路上引入一个时钟脉冲（CLK）作为控制信号，只有当CLK到来时电路才被“触发”而动作，并根据输入信号改变输出状态。把这种在时钟信号触发时才能动作的存储单元电路称为触发器(Triggers, eda. The actual digital systems often contain a large number of memory cells, and at the same time they often require synchronized action, to achieve this purpose, the introduction of a clock pulse (CLK) in each memory cell circuit as a control signal , the arrival of the circuit only when CLK was only trigger the operation and change the output state of the input signal. The memory cell circuit that can trigger actions when the clock signal is called a flip-flop)

use system identification toolbox in MATLAB to identify and estimate the model

matlab 拍照摄像，可以实现matlab拍照监控摄像，大家可以学学。(matlab photo camera)

利用改进的fxlms算法降噪，另附有自编fxlms函数代码(The improved noise reduction algorithm fxlms, self fxlms have attached the function code)

三被动雷达交叉定位，去除鬼影点和杂波，点点关联概率达到8成以上。(remove noise wave； remove false intersection points ； Data association 。 )

说明：  混沌时间序列分析中的Ｇ－Ｐ方法，用来计算相空间重构用到的关联维和嵌入维数(Chaotic time series analysis of the G-P method, used to calculate the phase-space reconstruction using the correlation dimension and embedding dimension)

基带形成与频域均衡研究在matlab中的实现(Baseband form and The Research Of Frequency domain equalization)

常用优化算法的matlab实现，如德杰斯特拉，弗洛伊德等。(Matlab optimization algorithm used to achieve, such as Dejene Stella, Freud and so on.)

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.)