-
kalman_filter11
kalman滤波，matlab实现————————————————(kalman filtering, matlab achieve----------------)
- 2010-02-01 19:40:07下载
- 积分：1
-
demag_tensor
This Algorithm comutes demagnetizig tensor from Newell Paper[1] between two rectangular shape elements.Main function is and there is equivallent function written in c-language, you can use it to compile mex file.This script can be used in field of micromagnetics and finite difference magnetic simulation software.
1. A.J. Newell, W. Williams, D.J. Dunlop, J. Geophys. Res. 98, 9551 (1993).
- 2013-09-10 21:13:30下载
- 积分：1
-
2302017gpsgsm
GPS Navigator overview
- 2011-04-23 14:02:17下载
- 积分：1
-
exp
关于蒙特卡洛在工程上的应用，仅供参考和互相学习，共同进步。(About Monte Carlo in engineering applications, for reference and mutual learning and common progress.)
- 2013-11-05 11:36:20下载
- 积分：1
-
sliding-window-delay-and-correlation
雷达测伪距时域相关法matlab仿真源码(The radar altimetry Pseudorange domain correlation method matlab simulation source)
- 2012-10-18 18:07:17下载
- 积分：1
-
Walsh
基于MATLAB的图像变换，wash变换，可以完成边缘提取与检测等的要求(MATLAB-based image transformation, wash transform, edge extraction and detection can complete the requirements, etc.)
- 2009-12-09 17:32:57下载
- 积分：1
-
INDOORLOC
In this i attached matlab code for indoor localization using WIFI and FM signal features classified by KNN classifier to predict the fingure print of the building structure.
- 2013-10-06 14:04:16下载
- 积分：1
-
stator_current
trace stotor current in matlab simulation
- 2012-05-06 19:25:06下载
- 积分：1
-
NR_crout
Power system load flow analysis using NR Power Flow method with implementation of crout algorithm .
- 2013-11-04 11:04:00下载
- 积分：1
-
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
