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此程序为CDMA的MATLAB仿真程序，在不同扩频码和路径下的仿真，对学习CDMA者有一定帮助(This program of MATLAB simulation program for the CDMA, the different spreading code and path of the simulation, those who have some learning to help CDMA)

LU－Zerlegung und Vektorisierung(LU-Zerlegung und Vektorisierung)

PSO粒子群算法解决TSP的MATLAB源码(Matlab source code of PSO_TSP)

(2). 采用汉明窗，分段长度L=32，用修正的周期图法进行谱估计，并分析数据长度N，分段长度M对谱估计结果的影响。((2) using Hamming window, segment length L = 32, the modified periodogram method of spectral estimation and analysis of data length N, the length M of the sub-spectrum estimation results.)

alpha稳定分布的函数。该分布是一种连续概率分布，其概率密度比高斯分布概率密度有更厚的拖尾，是一类适用范围很宽的随机信号模型，比高斯分布有更广泛的适用性。(Alpha stable distribution function. This distribution is a continuous probability distribution, the probability density are thicker than gaussian probability density trailing, random signal model is a kind of very wide application scope, has wider applicability than gaussian distribution. )

利用函数MadHG生成规则LDPC码的校验矩阵H，其行重为6,列重为3,行数为列数一半(行数越大越好)，H中任意两列没有围长为4的圈，并得到H对应的生成矩阵G，可以保证mod(G*H ,2)=0。使用方法为:[H,G] = MadHG(m,n,x),x= 1(得到的G左半部分为单位阵) or 2(G右半部分为单位阵),(use function MadHG Generation rules LDPC check matrix H, re-6, series of three, out for a few half of the number (A bigger the better), H 2 arbitrary no girth of the four circles, H counterparts and with the formation of matrix G, we can be assured of mod (G* H, 2) = 0. To be used : [H, G] = MadHG (m, n, x), x = 1 (the G part of the Left Front units) or 2 (G right half of the units RUF),)

目标因子分析，用于找寻主因子数的个数，用途广泛(Target factor analysis, to find the main number for the number of factors, versatile)

这是一个K中心算法的Matlab程序，很多用(This is a Matlab algorithm K center procedures, many with)

The Adaline is essentially a single-layer backpropagation network. It is trained on a pattern recognition task, where the aim is to classify a bitmap representation of the digits 0-9 into the corresponding classes. Due to the limited capabilities of the Adaline, the network only recognizes the exact training patterns. When the application is ported into the multi-layer backpropagation network, a remarkable degree of fault-tolerance can be achieved.

DSP toolbox for Matlab