-
QPSK
QPSK的matlab仿真,希望对大家有所帮助(QPSK in matlab simulation, we want to help)
- 2010-09-12 13:29:49下载
- 积分:1
-
bsp3
Model Fitting using a Gui code in matlab. using AR,ARMA,MA models
- 2009-12-12 19:57:23下载
- 积分:1
-
ImageProcessing
图像的置乱处理,包括了模板置乱法,幻方置乱法和图像的一个基本加密方法——4bit置换(Scrambled images, including the template scrambling method, magic squares and image scrambling method is a basic encryption method- 4bit replacement)
- 2010-05-25 20:55:38下载
- 积分:1
-
Intelligent-controls
刘金琨教授编写的智能控制第二版的配套源程序(Professor Liu Jinkun written in intelligent control of the second version of the matching source)
- 2013-03-22 00:15:57下载
- 积分:1
-
MatLab-EnengineerMath
matlab在工程数学方面的应用教学文档,matlab是一款功能强大的软件,可以应用于多种领域,本文档着重介绍matlab在工程数学领域的应用。(matlab engineering applications in mathematics teaching document, matlab is a powerful software that can be used in a variety of areas, this document focuses on matlab projects in the field of mathematics.)
- 2013-12-06 15:44:30下载
- 积分:1
-
MATLAByuyanjichu01
第04讲MATLAB语言基础-数字图像处理课件-matlab语言基础,很适合做图像如理入门使用,(Digital image processing based on matlab language courseware), such as introduction to use, very suitable for image series 1)
- 2013-11-13 20:16:20下载
- 积分:1
-
Hindmarsh_Rose
用matlab实现了对Hindmarsh-Rose神经元模型各个参数的仿真。包括了HR神经元模型和主程序,下载即可执行。(Hindmarsh-Rose neuron is analyzed with matlab)
- 2020-09-21 10:17:53下载
- 积分:1
-
lvbo
小波过滤数据,提取出含有噪声数据的原始信息.并且找到噪声信息.(Wavelet filter data, the original information containing the extracted noise data. Noise information and finding.)
- 2014-09-24 18:26:03下载
- 积分:1
-
Licenta
This is my whole part of visual basic my licence project!
- 2014-12-03 04:17:40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