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RBPF_constrainedEM
SOUNHO Park RBPFspeech enhancement EMsequential
- 2011-01-29 15:16:42下载
- 积分:1
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kmean
一个刚编出来的K—means 聚类算法的matlab源代码 适合多维数据(Just made out of a K-means clustering algorithm matlab source code for multi-dimensional data)
- 2009-06-07 00:34:38下载
- 积分:1
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three_algorithm
其中包含了三种算法,粒子群优化方法,遗传算法和蚁群算法(Which contains the three algorithms, particle swarm optimization, genetic algorithms and ant colony algorithm)
- 2010-12-27 19:47:04下载
- 积分:1
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fractual
多重分形算法 用于图像的处理和边缘图像用多重分形技术检测。(Multifractal algorithm)
- 2013-01-22 21:53:46下载
- 积分:1
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matlab11111
matlab 图像/视频处理实例整本书第一到第十章源码(matlab used in processing in images)
- 2012-10-03 21:57:34下载
- 积分:1
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hsupa
HSUPA channel transmitter and receiver block diagram
- 2015-02-12 20:40:54下载
- 积分:1
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spymemcached-2.9.1.jar
google memcached 客户端 jar 包(google memcached client jar)
- 2013-12-03 15:40:55下载
- 积分:1
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nihefenbu
说明: 拟合各种常见分布程序,产检的威布尔分布,瑞利分布,K分布等分布,采用语言为matlab。(Fitting a variety of common distribution procedures, check-Weibull distribution, Rayleigh distribution, K distribution of the distribution, the use of language matlab.)
- 2011-04-08 21:07:32下载
- 积分:1
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Possion-formula
超松弛迭代法编写matlab程序求解槽空间电位分布问题(Overrelaxation iterative method to write matlab program for solving groove space potential distribution problems)
- 2012-11-13 20:55:30下载
- 积分:1
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spam-classification--matlab
机器学习中的垃圾邮件分类程序,用matlab做的。从以下链接下载垃圾邮件数据(spam data):(数据已下载,放在spambase.zip)
http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html
该数据包含57个邮件信息相关的变量,每条邮件可以被分类为垃圾邮件(Y=1)和非垃圾邮件(Y=0)。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。
(Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)
- 2020-12-15 21:29:16下载
- 积分:1