matlab6

说明：  1. 编程实现图像傅立叶高通、低通滤波。 2. 尝试傅立叶压缩。 (1. Programming image Fourier high-pass, low pass filtering. 2. Try Fourier compression.)

traveling saleman problem的代码(traveling saleman problem code)

面向单变量系统的隐式广义预测控制，时域预测域6，控制域3(Length of time domain nn=6 Length of prediction n=6 Length of control domain m=2 control weighting efficient=0.8 Diffusion coefficient a=0.3 format of (n+1) order square P:0- duijiao,1-square1 original value of (n+1) order square P:0 )

电动汽车是智能电网的一个重要组成部分，能很好的解决能源紧缺，环境污染等问题。无线充电技术更有利于电动汽车与电网进行互动，更好的发挥动汽车削峰填谷、消纳可再生能源的功能。本文在研究中国电动汽车发展相关政策的基础上，，(Electric vehicle is an important part of smart grid. It can solve the problems of energy shortage and environmental pollution. Wireless charging technology is more conducive to the interaction between electric vehicles and the power grid, so that we can better play the function of cutting the peak and filling the valley, and reusing renewable energy. In this paper, based on the related policies of the development of electric vehicles in China, combined with the characteristics of the electric vehicle wireless charging, based on the statistical data, the first trip mileage of the private electric vehicle is extracted by Monte Carlo method, and the starting charge state of the electric vehicle charging is obtained according to the battery charging characteristics and the vehicle driving habit, and the charging state of the electric)

该软件可以解析声音信号中的dtmf编码，值得下载一试。(The software can resolve the dtmf encoding sound signals)

bellman 方程的matlab实现,十分不错的源代码(bellman function matlab)

周期对称方波信号的傅里叶级数展开 有限项级数来逼近无限项级数(fourier series )

identification nonelinear model single tank with ARX model

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)

用户选择算法的信道容量仿真。公平性因子设计及仿真。(user selection with sum capacity of channel. fairness factor design.)