AccMeasure

neural network using new development method to classifiy

interconnect system parameter variation

用互相关法求相对剩余静校正量；并用时差统计法或相关函数统计法分离，最后可求出记录道的绝对剩余静校正量。(Using cross correlation method the relative residual statics and separated by the difference method or statistical correlation function statistics of the last track can be obtained an absolute residual statics.)

说明：  rung-kutta 4 he inputs func, x0 and y0 define an IVP y = func(x,y), y(x0) = y0. This provides an approximation to y(x0:h:xn) using fourth-order Runge-Kutta method with step size h

GM8126 Simple IPCAM demo source code

添加噪声处理，用于时频分析算法，实现六自由度运动学逆解算法。( Add noise processing, For time-frequency analysis algorithm, Six degrees of freedom to achieve inverse kinematics algorithm.)

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)

Full wave rectifier simulation using matlab

该文件是模糊神经网络的预测算法源程序，最初用于嘉陵江水质评价，测试成功。(The file is forecast fuzzy neural network algorithm source code, originally used in the Jialing River water quality assessment, the test is successful.)

EEMD总体经验模式分解，EMD 的一种改进算法，可用于信号的去噪。(EEMD overall empirical mode decomposition, EMD of an improved algorithm can be used for signal de-noising.)