dingban

改源码是《MATLAB仿真技术与应用》这本书的配套光盘matlab源码。(Source is diverted to )

单音信号的一些频率估计程序，最大似然方法,Pisarenko法等。(This site presents some Matlab (tm) code for estimation of the frequency of a single, constant tone in noise. While these methods may be extended to the multiharmonic and multi-tone cases, these programs do not include this extension. )

求复杂网络节点之间的最短距离，也叫做测地线，对复杂网络的拓扑性质的分析很重要(Complex networks seeking the shortest distance between nodes, also called geodesic network topological properties of complex analysis is very important)

计算特征的fisher得分，用于特征筛选(Fisher score calculation feature for feature selection)

摘要:计算机动态仿真是混沌应用研究的重要方法"该文介绍了环境下的可视化建模与动态仿真步骤(Abstract: The computer simulation is a chaotic dynamic applied research an important means of )

一款很好的支持向量机例程，包括一对一，一对多，DAGSVM。(A good support vector machine routines, including one to one, many, DAGSVM.)

利用matlab对随机过程课程的仿真 1、利用matlab绘制随机过程的谱密度G_x (ω)=2αβ/(β^2+ω^2 ) (α、β为正数)的图像。 2、绘制白噪声的功率谱密度函数G_x (ω)=N/2和自相关函数R_N (τ)=N/2 δ(τ)的图像。 3、分析低通白噪声和带通白噪声的功率谱密度函数和自相关函数的性质并举例同时绘制其图像。 (1, drawn using a random process matlab spectral density G_x (ω) = 2αβ/(β ^ 2+ ω ^ 2) (α, β positive) image. 2 for the white noise power spectral density function G_x (ω) = N/2 and the autocorrelation function R_N (τ) = N/2 δ (τ) of the image. 3, the analysis of low-pass white noise and band-pass white noise power spectral density function and autocorrelation function of the nature and the examples at the same time to draw its graphics.)

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 )

M-rife估频算法的实现，Matlab函数。(M-rife frequency estimation algorithm, Matlab function.)

Search for max and min local (graph theory)