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programs
programs of code composer studio using dsk5416 and dsk6713.Then it contains matlab programs.
- 2011-04-20 15:08:12下载
- 积分：1
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k_means-algorithm
k-means算法是模式识别十大算法之一 matlab仿真的k-means聚类算法(k-means algorithm for pattern recognition algorithm is one of the top ten k-means clustering algorithm)
- 2011-11-18 17:59:31下载
- 积分：1
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assigment1
This homework ask students to use the cmd in matlab commands so that they can use coders perfectly
- 2012-11-24 08:28:50下载
- 积分：1
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Turbo_simulink
基于3GPP标准的信道编码turbo码的simulink仿真文件。(Simulink simulation files based on the 3GPP standard channel coding turbo codes.)
- 2014-02-24 16:50:53下载
- 积分：1
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TspBerlin52Files
This file is used to test TSP instence Berlin52 in the optimization problems.
- 2010-11-25 17:40:53下载
- 积分：1
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fftsa_boshuxingcheng
利用MATLAB实现的一个简单的水声波束形成程序。实现波束入射角度的定位功能。(The use of MATLAB to achieve a simple acoustic beam-forming process. To achieve the positioning function of beam incident angle.)
- 2009-12-18 21:24:24下载
- 积分：1
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Source_coding
对通信中的信源的二进制编码的实现，有香农编码，费诺编码以及霍夫曼编码(Source of communication in the realization of the binary code, there is the Shannon coding, coding, and Huffman coding Fenno)
- 2010-05-06 10:34:03下载
- 积分：1
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rosslersuper
rossler超混沌系统的simulink文件可以自己改变参数(rossler hyperchaotic system Simulink documents themselves can change the parameters)
- 2006-11-13 18:33:14下载
- 积分：1
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Matlab_HW_3_1012806
這是我自己寫的 matlab 簡易入門的原始碼，我只是個初學者。(This is my own writing simple entry matlab source code, I' m just a beginner.)
- 2015-01-06 16:23:55下载
- 积分：1
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Minimum-Bayes-classifier-error-rate
这是模式识别中最小错误率Bayes分类器设计方案。
自行完善了在不同先验概率的条件下，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。
调用最小错误率贝叶斯分类器决策子函数时，根据先验概率数组，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。
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”，调用最小错误率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，就可以得到不同先验概率条件下错误率的统计。
(This is the minimum error rate pattern recognition Bayes classifier design.
Self- improvement prior probability in different 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 third step is to 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 .
Call the minimum error rate decision Functions Bayesian)
- 2012-02-02 20:33:06下载
- 积分：1
