Archivos-Matlab

matlab实现极大似然估计法定位无线传感器网络节点。(matlab maximum likelihood estimation method to achieve positioning of wireless sensor network nodes.)

modulation and demodulation used in lte systems including qpsk 16-qam 64-qam

谢菲尔德遗传算法工具箱/解决遗传算法优化的一些问题(Sheffield genetic algorithm toolbox/solve some of the problems of genetic algorithm optimization)

指纹识别matlab代码，包括一些指纹图片(Fingerprint recognition matlab code)

一种简单的估计信号载波频率的matlab程序，适用于初始粗略估计。(A simple estimate of the carrier frequency signal matlab procedures applicable to the initial rough estimate.)

说明：  四阶Runge-Kutta方法（微分方程）,并有例题(Fourth-order Runge-Kutta method (differential equation) with examples)

Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights to ％ the outliers. ％ The motivation to write this function is to compute percentiles for Monte ％ Carlos simulations where some simulations are very bad (in terms of goodness ％ of fit between simulated and actual value) than the others and to give ％ the lower weights based on some goodness of fit criteria.(Returns weighted percentiles of a sample given the weight vector w The idea is to give more emphasis in some examples of data as compared to others by giving more weight. For example, we could give lower weights to the outliers. The motivation to write this function is to compute percentiles for Monte Carlos simulations where some simulations are very bad (in terms of goodness of fit between simulated and actual value) than the others and to give the lower weights based on some goodness of fit criteria .)

初学matlab的教程，比较全面，比较实用，此部分为第一部分。(Matlab beginner tutorial, more comprehensive, more practical, this section is the first part.)

Three function for RBF neural network, using OLS,Rand and SGA function [newcenter,sigma,W,yh,rmse]=rbfols(p,t,tol) p 為輸入資料點，N×K矩陣，N是輸入資料維度，K是資料點數 t 為目標輸出值，1×K矩陣 tol 為指定容忍度或正確率 centers選定中心點，N×nc矩陣 sigma為 ? 值 W為輸出層權重，nc×1矩陣 yh為網路輸出值，1×K矩陣 rmse 為目標輸出值與網路輸出值之RMSE

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