Beyond_Scaling_laws

matlab中的部分遗传算法程序，欢迎大家来分享(matlab genetic algorithm in the part of the program, welcome you to share)

matlab tiế ng Việ t tự họ c

Implements "Computationally Convenient Distributional Assumptions for Common Value Auctions" by Michael B. Gordy, Federal Reserve Board FEDS 1997-5, January 1997.

加权支持向量机的控制图模式识别方法，不平衡的分类异常控制模式与支持向量机的趋势 (A weighted support vector machine method for control chart pattern recognition imbalanced classification of abnormal control trend patterns with SVM)

强大的电力系统潮流计算，非常好用，算法稳定(power flow code, easy to use )

RS码编译码程序,已经调试过的，可以直接使用，啦啦啦啦啦啦啦啦啦啦啦(decode of RS)

PSO-Griewank for matlab

本程序基于一阶AR模型，u(n)=-0.99u(n-1)+v(n)的线性预测。白噪声v(n)方差0.995.FIR滤波器的抽头数为2.遗忘因子0.98.用RLS算法实现u(n)的线性预测。并附有仿真图片。。(This procedure is based on a first-order AR model, u (n) =-0.99u (n-1)+v (n) of the linear prediction. White noise v (n) the number of taps of the the variance 0.995.FIR filter 2. Forgetting factor 0.98. U (n) of the linear prediction using the RLS algorithm. With simulation Pictures. .)

设计一维纳滤波器 (1). 产生三组观测数据：首先根据S(n)=aS(n-1)+w(n)产生信号S(n)，将其加噪声(信噪比分别为20db，10db，6db)，得到观测数据X1(n)，X2(n)，X3(n)。. (2). 估计Xi(n)，i=1，2，3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L，N对实验结果的影响。(Design a Wiener filter (1) produces three sets of observations: First, according to S (n) = aS (n-1)+ w (n) generates the signal S (n), to add noise (SNR are 20db, 10db, 6db ), obtained observational data X1 (n), X2 (n), X3 (n). . (2) estimated Xi (n), i = 1,2,3 of the AR model parameters. Assuming the signal length L, AR model order N, the analysis of experimental results, and discuss the changes in L, N to the experimental results.)

说明：  随机数生成程序，用于作为系统辨识的输入信号，得出相应的输出(Random number generator procedure for system identification as an input signal, the output reached)