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newton
以mathematica9中文版来计算由牛顿迭代法产生的实根。因开发环境中没有mathematica,故只好选matlab.(Using mathematica9 to calculate the real root produced by the Newton iterative method. The station is estimated without.)
- 2014-11-14 11:44:31下载
- 积分：1
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K-means
K均值算法描述：
给定类的个数K，将N个对象分到K个类中去，
使得类内对象之间的相似性最大，而类之间的相似性最小。(K-means algorithm described: a given number of classes K and N objects assigned to the K-th class, so that objects within the class of the similarity between the maximum, while the similarity between the minimum class.)
- 2013-04-11 11:04:17下载
- 积分：1
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1
说明： hallo this is my program for matlab about segmontation image
- 2015-04-06 09:19:53下载
- 积分：1
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TRANSMISSION_LINES
多导体传输线分析 克莱顿R.保罗 最经典的传输线分析的书 值得收藏(analysis of multiconductor transmission lines 2nd edition)
- 2016-04-11 09:25:15下载
- 积分：1
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matlabtxtread
说明： matlab中常见txt文件读入的实用方法 (matlab common txt file into a practical method)
- 2010-04-15 14:42:46下载
- 积分：1
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mathematical-statistics-matlab
数理统计与matlab工程数据分析065879,包括1-9章的例子程序。(mathematical statistics and data analysis matlab project)
- 2011-10-09 20:51:02下载
- 积分：1
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Matlab
很好的matlab作图word文档,希望对大家有帮助(Mapping matlab good word documents, and they hope to help everyone)
- 2007-11-11 17:02:57下载
- 积分：1
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channelcapacity
在MIMO系统中，已知和未知信道状态信息时的信道容量比较(In MIMO systems, known and unknown channel state information when the channel capacity compared)
- 2009-11-12 11:57:55下载
- 积分：1
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Buck_simulink
Configurable Simulink Model for DC-DC Converters with PWM PI Control description
- 2009-12-07 00:55:58下载
- 积分：1
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rtejfgds
现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)
- 2020-08-14 13:28:28下载
- 积分：1
