julei

EFFICIENT RANDOM VARIATES GENERATOR (from over 50 distributions):Alpha, Anglit, Antilognormal, Arcsin, Bernoulli, Bessel, Beta, Binomial, Bradford, Burr, Cauchy, Chi, Chi-Square (Non-Central), Chi-Square (Central), Cobb-Douglas, Cosine, Double-Exponential, Erlang, Exponential, Extreme-Value, F (Central), F (Non-Central), Fisher-Tippett, Fisk, Frechet, Furry, Gamma, Generalized Inverse Gaussian, Generalized Hyperbolic, Geometric, Gompertz, Gumbel, Half-Cosine, Hyperbolic Secant, Hypergeometric, Inverse Gaussian, Laplace, Logistic, Lognormal, Lomax, Lorentz, Maxwell, Nakagami, Negative Binomial, Normal, Normal-Inverse-Gaussian (NIG), Pareto, Pareto2, Pascal, Planck, Poisson, Quadratic, Rademacher, Rayleigh, Rice, Semicircle, Skellam, Student s-t, Triangular, Truncated Normal, Tukey-Lambda, U-shape, Uniform (continuous), Von Mises, Wald, Weibull, Wigner Semicircle, Yule, Zeta,(EFFICIENT RANDOM VARIATES GENERATOR (from over 50 distributions): Alpha, Anglit, Antilognormal, Arcsin, Bernoulli, Bessel, Beta, Binomial, Bradford, Burr, Cauchy, Chi, Chi-Square (Non-Central), Chi-Square (Central), Cobb-Douglas, Cosine, Double-Exponential, Erlang, Exponential, Extreme-Value, F (Central), F (Non-Central), Fisher-Tippett, Fisk, Frechet, Furry, Gamma, Generalized Inverse Gaussian, Generalized Hyperbolic, Geometric, Gompertz, Gumbel, Half-Cosine, Hyperbolic Secant, Hypergeometric, Inverse Gaussian, Laplace, Logistic, Lognormal, Lomax, Lorentz, Maxwell, Nakagami, Negative Binomial, Normal, Normal-Inverse-Gaussian (NIG), Pareto, Pareto2, Pascal, Planck, Poisson, Quadratic, Rademacher, Rayleigh, Rice, Semicircle, Skellam, Student s-t, Triangular, Truncated Normal, Tukey-Lambda, U-shape, Uniform (continuous), Von Mises, Wald, Weibull, Wigner Sem)

matlab 程序语言 物件导向编码引导手册(A Guide to MATLAB Object-Oriented Programming- A Register)

说明：  利用PSO算法对PID参数进行整定并画图，matlab程序，测试过可以使用(Using PSO to adjust and draw the parameters of PID)

用matlab实现turbo码的编解码全过程(matlab for turbo decode)

matlab例程，可用的DC/DC构建方法，采用pwm进行直流端高低电压的转换(matlab routines, can be a DC/DC construction method using low voltage DC side pwm for conversion)

支持向量机两类分类器的源码，可以实现；效果也还行。(support vector)

获取信号的强弱，非常好用，欢迎大家下载，好了不说了(Get signal strength, very easy to use, welcome to download, well, do not say)

拉格朗日插值法，输入x，y，再输入变量xi，就可以求得yi。(Lagrange interpolation method, the input x, y, and input variables xi, yi obtained.)

说明：  时频分布，并附有常用时频分析信号。附带演示程序。(Time-frequency distribution, with common time-frequency analysis of signals. Incidental demo.)

模糊C-聚类分析：从随机初始化划分矩阵开始迭代(Fuzzy C-cluster analysis: start from the the random initialization divided matrix iteration)