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shannon
香农编码源程序
如：p=[0.4 0.3 0.2 0.1]
shannon(p)(shannon source code)
- 2010-11-13 21:19:03下载
- 积分：1
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music_linear
music线性算法，用于dsp实验中数据的产生。(music linear algorithm for generating dsp experiment data.)
- 2013-12-31 11:24:50下载
- 积分：1
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LMS
LMS三角定位迭代加权算法 LMS三角定位迭代加权算法 LMS三角定位迭代加权算法(LMS triangulation iterative weighting algorithm LMS triangulation iterative weighting algorithm LMS triangulation iterative weighting algorithm)
- 2013-12-03 09:05:26下载
- 积分：1
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exam4_1
在自重和温度载荷作用下的斜腿刚构桥的matlab有限元计算源程序，配套书籍是《ansys分析与matlab编程：徐荣桥》(Under its own weight and temperature loads inclined leg rigid frame bridge Matlab finite element calculation source, supporting the book is " ANSYS analysis and the matlab programming: Xu Rong bridge" )
- 2013-05-14 23:34:37下载
- 积分：1
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Mumfooord
matlabe code for mumford......
- 2009-09-26 17:39:07下载
- 积分：1
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Gauss_elimi
用于列主元高斯消元法求解线性方程组的matlab程序(Matlab procedure for the column PCA Gauss elimination method)
- 2014-11-29 10:23:37下载
- 积分：1
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power_active_filter
三相有源滤波器模型，matlab环境下搭建，滤波效果良好，且在负荷变化时能够迅速跟踪谐波电流变化并进行补偿。(Three-phase active filter model, matlab environment to build, the filtering effect is good, and when the load changes can be quickly tracked changes and harmonic current compensation.)
- 2013-05-23 09:33:49下载
- 积分：1
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GPS
GPS的RMC、CGATT等格式帧的数据定位解析(GPS locate)
- 2015-04-22 23:37:42下载
- 积分：1
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cata
利用大整数问题实现catalan数的求解，catalan数的计算涉及到互质问题(The use of large integer problems solving to achieve catalan number, catalan calculation of the number of issues related to coprime)
- 2010-01-04 19:13:23下载
- 积分：1
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perceptron
感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则
找到给定的二分类标签数据超平面。
(PERCEPTRON Perceptron algorithm to train binary linear classifier.
Synopsis:
model = perceptron(data)
model = perceptron(data,options)
model = perceptron(data,options,init_model)
Description:
model = perceptron(data) uses the Perceptron learning rule
to find separating hyperplane from given binary labeled data.
model = perceptron(data,options) specifies stopping condition of
the algorithm in structure options:
.tmax [1x1]... maximal number of iterations.
If tmax==-1 then it only returns index (model.last_update)
of data vector which should be used by the algorithm for updating
the linear rule in the next iteration.
model = perceptron(data,options,init_model) specifies initial model
which must contain:
.W [dim x 1] ... normal vector.
.b [1x1] ... bias of hyperplane.
.t [1x1] (optional) ... iteration number.
Input:
data [struct] Labeled (binary) training data.
.X [dim x num)
- 2011-05-01 18:19:52下载
- 积分：1
