huiseyuce

混沌跳频序列性能测试 汉明相关性 间隔特性 平衡性(Testing chaotic FH sequences interval Hamming correlation properties balance)

for linear induction motor drive using model predictive control

说明：  数值分析方法-数据拟合-多项式数据拟合的实现(Numerical analysis method- data fit- polynomial data fitting to achieve)

matlab 顺序遍历二值图像 查找说有连通域，对不同的连通域使用不同编号(traversal order matlab binary image to find that there connected domain, for different connectivity domains using different numbers)

关于matlab优化工具箱使用的一些案例介绍。包含内容较为全面。可以作为入门使用。(Introduction matlab optimization toolbox to use some of the cases. Contains more comprehensive. Can be used as an entry.)

最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。 (Least-squares method (also known as least squares) is a mathematical optimization techniques. It does this by minimizing the square error of the data and find the best match function. The least square method can easily obtain the unknown data, and makes these data and the actual data obtained between the square and the smallest error. Least-squares curve fitting method can also be used. Other optimization problems can be maximized by minimizing the energy or entropy of the least square method to express. )

说明：  本程序运行需一个小时左右。优化准则是旁瓣电平最小。取栅格间距为lemda/2,阵元间距为栅格间距的整数倍。放阵元的位置放1，否则放0(This program should be running an hour or so. Rule of optimization is side-lobe level minimum. Take grid spacing for lemda/2, spacing for grid spacing array (integer times. Put the position of the array (put 1, otherwise put 0 )

dsp软件试验，通信类学生懂的—DTMF信号的编码(dsp software testing, Communications students understand-DTMF encoding signal)

FEM1D_SPECTRAL_NUMERIC is a MATLAB program which applies the spectral finite element method to solve the problem u = - pi^2 sin(x) over [-1,+1] with zero boundary conditions, using as basis elements the functions x^n*(x-1)*(x+1), and carrying out the integration numerically using MATLAB s quad() function. This function solves the problem u = - pi^2 * sin( pi * x ) for x in (-1,1), with boundary conditions u(-1) = u(1) = 0.

说明：  一个经典的matlab编程的JC法的可靠度的计算，对可靠度的学习很有用(Matlab programming a classic calculation of reliability of JC method, useful for the study of reliability)