checkgeneralparameters.m

说明：  5篇有关粒子群优化神经网络的文章，caj格式的(Particle swarm optimization of neural networks related to the article, caj format)

由1790-1980年间美国每隔十年的人口记录表为基础进行分析。(Exponential growth model of population )

模型预测控制仿真实例,采用无约束的模型预测控制策略(model predictive control design and simulation)

toolbox for Lyapunov exponent compute

说明：  精通MATLAB综合辅导与指南例程 里面包含所有的例程(Comprehensive counseling MATLAB routines)

说明：  对输入的一有理Z变换表达式（输入分子和分母系数序列），分别画出： （1）零极点图 （2）z在单位圆上时z变换所对应的DTFT的幅度谱和相位谱 （3）逆z变换所得序列，在各种不同的收敛域下（包括了右边序列，左边序列和双边序列的情况） (the importation of a rational expression Z-transform (input coefficient of the numerator and the denominator sequence), respectively paint : (1) The pole-zero plan (2) z in the unit circle at z transform the X corresponding to the amplitude spectrum and phase spectrum (3) Inverse z transform sequences derived from the convergence of various jurisdictions (including the right sequence, the sequence of the left and bilateral series))

shabake asabiPerceptron.m

变声器的matlab实现，能够变声，将男人的声音变成女人的声音等等(The the of the matlab of voice-changer to achieve, be able to voice changed turned into the, will be the the voice of the a man' s to the the voice of the a woman' s, and and so on on)

自适应均衡器的LMS算法实现及其仿真 :自适应均衡器已广泛应用于通信、雷达、声纳、控制和生物医学工程等许多领域,为克服多径衰落和信道失真 引起的码间干扰,实时跟踪移动通信信道的时变特性,笔者设计了一个基于LMS 算法的自适应线性均衡器,并通过改变步 长因子Δ来分析其收敛速度和均方误差特性.(Adaptive equalizer of LMS algorithm and its simulation)

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),)