RayleighFadingsimulationandDSPrealization

一个多输入多输出小波网络的源程序，用matlab编写，能够实现对时间序列数据的训练预测(a multi-input multi-output source wavelet network using Matlab preparation, right time to achieve the training sequence data forecast)

MUSIC算法MATLAB程序 MUSIC算法MATLAB程序(MUSIC MATLAB)

平坦衰弱下的rician衰弱matlab仿真(rician matlab)

简单易用的matlab FFT程序，零频在中间，另外还经常用的matlab绘图代码列了出来(Simple and easy-to-use program matlab FFT, zero frequency in the middle, is also often used matlab drawing code out)

特征选择matlab程序, 该程序由多种特征选择算法组成，可根据需要进行选择。(Feature selection matlab program, which composed by a variety of feature selection algorithm can be selected according to need.)

这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，通过比较概率大小判断一个体重身高二维向量代表的人是男是女，放入决策数组中。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小风险贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。 (This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Bayesian classifier )

this m.file produces channel coefficient with some error, in which the estimation error follows a random variable with zero mean and variance of MSE. lat is the latitude of BS places at different cells which is used to determine the number of BSs in the networks

equation matlab programming

功能实现：光伏电池最大功率跟踪。本程序基于boost电路。在matlab平台上能够成功调试。(Functions: Photovoltaic Maximum Power Point Tracking. This program is based on the boost circuit. Able to successfully debug Matlab platform.)

是国外的成品模型，music高阶谱分析算法，用于特征降维，特征融合，相关分析等。( Foreign model is finished, music higher order spectral analysis algorithm, For feature reduction, feature fusion, correlation analysis.)