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3
说明： 对程序利用matlab对空时编码中的分集技术进行了仿真，通过对比采用分集技术和不采用此技术来进行性能分析(Matlab program for use on space-time coding techniques in the sub-set of the simulation, by comparing the use of diversity technology and do not use this technology for performance analysis)
- 2011-11-22 09:23:55下载
- 积分：1
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Numerical_evaluation_of_liquid_food_heat_steriliz
Numerical_ uation_of_liquid_food_heat_sterilization_in_a_brick-shaped_package
- 2015-03-04 03:55:35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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Proyecto1
Makes an histogram based on numbers written in a file.
- 2010-09-10 12:20:10下载
- 积分：1
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gramSchmidt.m
Gram Schmidt codes to have the orthogonal
vectors or Q-conjugate vectors.
- 2013-03-09 03:34:47下载
- 积分：1
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AnalyticThoraxPhantom_phantom_files
主要是forbild胸部体模的matlab程序(forbild throax phantom)
- 2012-10-07 23:29:24下载
- 积分：1
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fisheye
说明： 基于鱼眼效果的产生图像，里面是比较简单的原理代码，方格图成像(Fish eye effect on the production images, which is a relatively simple principle of the code, grid map imaging)
- 2010-04-22 16:45:28下载
- 积分：1
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ok
Euclidean distance between two images
- 2013-09-20 09:28:18下载
- 积分：1
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ChaosAttractors
产生混沌时间序列，Logistic映射Henon映射等。(Chaotic time series, Logistic mapping Henon mapping.)
- 2015-03-18 16:37:09下载
- 积分：1
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wideband-DOA-estimation
提出了一种新的宽带DOA估计方法:频域子空间正交性测试方法(TOFS:Test of orthogonality of frequency sub- space)。该方法通过同时测试频域信号共同带宽内各频段噪声子空间与阵列流形之间的正交性来进行DOA估计。与宽带相干信号子空间方法不同,TOFS方法不需要任何初始值的预估及聚焦操作。与宽带非相干信号子空间方法也不同,TOFS方法同时测试各频段噪声子空间与阵列流形之间的正交性。本文仿真了TOFS与IMUSIC、CSSM、TOPS的性能比较。仿真结果表明TOFS方法在中等信噪比以上时有较好的性能,且避免了TOPS方法中常出现的伪峰。 (Proposed a new broadband DOA estimation methods: subspace orthogonal frequency domain test methods (TOFS: Test of orthogonality of frequency sub-space). The method by simultaneously testing the frequency domain signal bandwidth of each band noise common sub-orthogonality between space and the array manifold to be DOA estimates. And broadband coherent signal subspace different methods, TOFS method does not require any initial estimate and focusing operation values. And broadband incoherent signal subspace methods are different, TOFS method for simultaneous testing of each band orthogonal noise subspace and the array manifold between. This paper compares the performance TOFS simulation and IMUSIC, CSSM, TOPS is. Simulation results show that the method TOFS better performance when more moderate SNR and spurious peaks TOPS method avoids the often occur.)
- 2014-04-23 21:00:37下载
- 积分：1
