main3

用Matlab实现的IIR滤波器，已经通过编译和运行(Using Matlab realize the IIR filter, has been compiled and run through)

％radon transform clear all ％ N=800 n=1:N fs=200 t=n/fs x1=exp(j*2*pi*(5*t+0.5*5*t.^2)) x2=exp(j*2*pi*(5*t+0.5*15*t.^2)) x=x1+x2 ％N=length(x) ％ ambifunb(x ) ％*****************************************RAT naf=ambifunb(x) htl(abs(naf)) ％ [wh,rho,theta]=htl(abs(naf)) colormap([0,0,0]) ％ xlabel( 极半径 ) ％ ylabel( 角度 ) ％**************************************％找出峰值点的坐标,计算初始频率和调频斜率(正确) ％找出峰值点的坐标 b=max(max(wh)) [u,a]=find(wh>=0.8*b) ( Radon transformclear all N = 800 n = 1: N fs = 200 t = n/fs x1 = exp (j* 2* pi* (5* t+ 0.5* 5* t. ^ 2)) x2 = exp ( j* 2* pi* (5* t+ 0.5* 15* t. ^ 2)) x = x1+ x2 N = length (x) ambifunb (x)***************************************** RATnaf = ambifunb (x) htl (abs (naf)) [wh, rho, theta ] = htl (abs (naf)) colormap ([0,0,0]) xlabel (polar radius) ylabel (angle)************************************** to find the coordinates of the peak point, calculating the initial slope of the frequency and FM (right) find the peak point of the coordinates b = max (max ( wh)) [u, a] = find (wh)

复合材料层合板极限应力计算(matlab) 这是我课后作业(Composite Laminates ultimate stress calculation matlab)

在实际应用着经常需要求解非线性整数规划或混合规划问题，该领域中的一种常用的算法是分支定界(branch and bound)算法，但是matlab工具箱中没有相关的函数。荷兰Groningen大学的Koert Kuipers编写的的BNB20工具箱可以用来求解一般非线性整数规划问题(In practice, frequent need to solve nonlinear integer programming or mixed programming problem, the area a popular algorithm is the branch and bound (branch and bound) algorithm, but the matlab toolbox functions are not related. Netherlands, Groningen University, prepared the BNB20 Koert Kuipers toolbox can be used to solve general nonlinear integer programming problem)

Matlab环境下的基于平滑宽带信号的编程(Matlab environment based on the smooth programming of broadband signals)

基于模糊控制的机器人避障，智能控制基础大四。(Obstacle avoidance of fuzzy control robot)

L-M神经网络在matlab开发环境中的实现实例，有利于初学者学习与掌握(L-M neural network in the matlab environment development to achieve the example, be helpful for beginners to learn and master)

This paper show the signal processing applied to matalab programming as it is a tool for daily use in the study of engineering, mathematical and algorithmic develop processes to obtain a graphical interface to teach us several processes as seen in class are graphical representation of the signals, the transformation of the independent variable, the convolution process and some applications of singular functions.

QAM generation par matlab

说明：  模拟退火（SA）算法求解旅行商 （TSP）问题MATLAB代码讲解(Simulated annealing (SA) algorithm for traveling salesman (TSP) problem matlab code explanation)