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dabasuanfa
说明： 非线性微分方程边值问题打靶算法Matlab程序(Shooting Algorithm for Nonlinear Differential Equations Matlab program)
- 2011-04-13 16:33:50下载
- 积分：1
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c3
说明： CHAPTER 3 (C3 Folder) BASICS ON MAGNETICS AND LINE MODELING
Project 1: Line Parameters and Circuit Models:
(a) Relative Accuracy of Circuit Models for
Different Line Lengths
(b) Real and Reactive Power Transfer
SIMULINK file none
MATLAB M-file m1.m
Project 2: Switching Transients in Single-Phase Line
SIMULINK file s2.mdl
MATLAB M-file m2.m
- 2013-01-18 17:03:42下载
- 积分：1
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Desktop
二维正态分布密度函数的数学模型，通过此函数调用实现结果求取(The mathematical model of two dimensional normal distribution density function is obtained by using this function call.)
- 2021-04-24 17:28:47下载
- 积分：1
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fisher
fisher线性分类代码。老师要我们自己做的，还不错哦(fisher linear classification code. Teacher wants us to make their own, and have a good oh)
- 2009-12-20 11:00:41下载
- 积分：1
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watermark
有关于数字信号处理的水印技术，成功运行，除水印效果很明显(Digital signal processing on the watermarking technology, successful operation, in addition to obvious watermark)
- 2021-04-18 10:38:57下载
- 积分：1
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panicle-swarm-optimization
基本粒子群算法，很好用，方便理解，非常简单，有文字说明，有注释(panicle swarm optimization)
- 2012-04-10 17:59:00下载
- 积分：1
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prachMatchFilterPDPtest
Code for calculating the Power delay profile of LTE RACH
- 2013-02-07 14:26:56下载
- 积分：1
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BCH_Sim_Main
BCH编译码程序，对误码性能仿真，获得实际的误码曲线。(BCH Codec error performance simulation, the actual error curve.)
- 2012-11-22 22:57:02下载
- 积分：1
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Minimum-Risk-Bayes-classifier
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 )
- 2012-02-02 20:37:04下载
- 积分：1
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matlab_source
MATALAB 使用详解一书的matlab程序，董霖编著，里面所有的程序(Detailed MATALAB use matlab program book, edited by Lin Dong, which all programs)
- 2011-11-16 21:40:54下载
- 积分：1
