-
CA_code_generator
CA code generator for gps
- 2010-12-09 04:01:19下载
- 积分:1
-
~2Book_MATLAB+simulink
MATLAB/Simulink属于一种通用的科学计算和系统仿真语言。在MATLAB/Simulink下,从数学模型到计算机仿真模型的转换非常容易。MATLAB/Simulink提供了三种?方法:(MATLAB/Simulink is a general-purpose scientific computing, and system simulation language. In MATLAB/Simulink from the mathematical model to a computer simulation model of the conversion is easy. MATLAB/Simulink to provide ? three methods:)
- 2008-07-27 17:06:29下载
- 积分:1
-
4
说明: 用泽尼克拟合波面的几种算法的描述,对于重构波前有一定的帮助(Wavefront with a Zernike fitting the description of several algorithms for wavefront reconstruction will certainly help)
- 2011-03-12 20:16:44下载
- 积分:1
-
TimeFrequencyToolbox
时间序列的时频分析工具箱,应该在业内有较大的影响力。具体的帮助文件可以在压缩包内看到。(time sequence of time-frequency analysis toolkit, the industry should have a larger impact. Specific help file can be compressed seen.)
- 2007-04-03 04:19:57下载
- 积分:1
-
PSO
matlab求解粒子群,属于0-1背包问题(matlab to solve the particle swarm, belonging to the 0-1 knapsack problem)
- 2012-06-10 13:23:14下载
- 积分:1
-
ECG_aztec
该程序基于matlab,可以对输入的一个ECG信号图像进行处理,方便进一步分析。(Based on matlab, the program can enter an ECG signal image processing to facilitate further analysis.)
- 2012-11-26 22:20:36下载
- 积分:1
-
PV_Example
matlab example for photovoltic
- 2012-02-16 03:56:11下载
- 积分:1
-
pro_ele
产生GF(2^13)的元素,并且在文档中写出自然基表示(Generate GF (2 ^ 13) elements, and in the document to write natural-based express)
- 2008-04-17 23:29:43下载
- 积分:1
-
Archive
无刷直流电机(BLCD) 建模仿真 S函数的编译(BLCD S-function)
- 2010-05-26 10:18:06下载
- 积分:1
-
active-learning-code
Learning_random.m : 随机选择样例,从(90)pool里随机选择样本,删除版本空间树的数量
activeLearning.m:根据最大熵原则,从pool里选择样本,删除版本空间树的数量
getlabel.m:根据树和测试样例,得到根据该树得到的类标
getTrees.m:从提供的大量树结构(随机生成的)中,随机挑选一定数量的树(如果该树的叶子节点无类标随机添加)
RandomCreateTree_d_unbalance:根据样本点割点中的非平衡割点建造树,
RandomCreateTree_d_all.m:根据所有样本点的割点建造树
randomdata.m:给定属性取值,造数据
randomselect.m:从数据中随机选择一部分作为
showTree.m:显示树的结构
test.m:给出树,测试样例,得到正确率(Learning_random.m: randomly selected sample, randomly selected sample from (90) pool the The deleted version space tree quantity activeLearning.m: selecting a sample from the pool based on the principle of maximum entropy, delete the number of version space tree getlabel.m: According to the tree and the test sample obtained according to the class standard getTrees.m the tree: from the tree structure (randomly generated), randomly selected a certain number of trees (the leaves of the tree node class marked randomly adding ) RandomCreateTree_d_unbalance: According to the sample point cut point unbalanced cut point construction tree, RandomCreateTree_d_all.m: construction of the tree randomdata.m all sample points cut point: given the value of the property, manufacturing data randomselect.m: random data Select as part showTree.m: tree structure test.m: tree, the test sample is given to get the correct rate)
- 2012-10-10 22:33:44下载
- 积分:1