anfis

本文是用线形预测编码对图像进行压缩，这种方法是中无损压缩(This article is a linear prediction coding of image compression, this method is in the lossless compression)

opamp simulink in matlab

dijkstra code at matlab

说明：  计算牛顿科特斯积分公式 包含求科特斯系数函数(Calculation of Newton- Cortes integral formula)

用c++编的matlab程序.是常微分方程解法.希望能给大家帮助,都是老师给布置的作业!谢谢!(using Matlab c addendum to the proceedings. Solution of ordinary differential equations. I hope that it provides help, teachers are to the layout of operations! Thank you!)

说明：  改进的小波阈值去噪法，但是其中有点不对，不知道会不会对大家有用，想看的下哈(Improved wavelet threshold denoising method, but one a bit wrong, do not know will not be useful to everybody, want to see the next Ha)

ICA的经典算法JADE，非常值得下载，其中包含各种库函数以及主函数(JADE ICA s classical algorithm)

中频70M，30M带宽LFM信号，采样率为102.4M，数字下变频后，还进行了三倍抽取，最后还得到I，Q两路信号 (IF 70M, 30M bandwidth LFM signal, the sampling rate of 102.4M, digital down conversion, the samples were carried out three times, the last also I, Q two-way signal)

rgb颜色模板的肤色提取方法，对于人脸定位有着一定的帮助(rgb color color template extraction method for face detection with some help)

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)