-
matlab_note
A MATLAB tutorial for beginners from University of Dundee by David F. Griffiths. Vert useful for new starters.
- 2009-09-24 11:42:13下载
- 积分:1
-
2pca
这个是容易看懂的2dpca MATLAB程序,简单(This is easily accessible 2dpca MATLAB procedures, simple)
- 2009-01-16 21:07:27下载
- 积分:1
-
SRAVANaa
hai check it its very good code..and pv and eindmpptalgoritham
- 2013-07-25 10:50:44下载
- 积分:1
-
Intelligent-controller
PID控制算法简单、鲁棒性强,但其参数整定过程繁琐,整定时需要控制对象的精确数学模型,而且整定往往是针对某一种具体工况进行的,缺乏自学习和自适应能力。模糊神经网络则兼备了模糊逻辑和神经网络的优点,具有函数逼近功能,具有较强的自适应、自学习能力、容错能力和泛化能力。借助于遗传算法对全局性参数进行优化设计,借助于BP算法对局部性参数进行优化,将模糊神经网络和遗传算法引入PID控制参数的整定过程,构造出一种基于模糊神经网络和遗传算法的智能PID控制器(Intelligent controller based on fuzzy neural network and genetic algorithm)
- 2012-05-23 17:08:14下载
- 积分:1
-
ksvd
基于混合基稀疏图像表示的压缩传感图像重构 (Compressed sensing sparse image)
- 2015-01-13 22:03:20下载
- 积分:1
-
On-the-Duality-of-MIMO-MAC-
多输入多输出系统下的硬件位址的二元性问题(the duality of MIMO MAC)
- 2011-12-15 11:28:22下载
- 积分:1
-
fcm
说明: 一种快速的抗噪声模糊C均值图像分割算法
图像分割就是把图像分成若干个特定的、具有独特性质的区域并提出。该算法结合像素灰度值相似度和隶属度构造了一个新的空间函数。该空间函数用于更新成员关系,而成员关系又用于迭代地获取聚类中心。所提出的算法可以在较少的迭代次数下获得理想的分割结果,有效地降低了噪声的影响。(A fast anti noise Fuzzy C-Means Image Segmentation AlgorithmImage segmentation is to divide the image into several specific, unique areas and propose. In this algorithm, a new spatial function is constructed by combining the similarity and membership of pixel gray value. The spatial function is used to update the membership, and the membership is used to obtain the cluster center iteratively. The proposed algorithm can get ideal segmentation results with less iterations and effectively reduce the impact of noise.)
- 2019-12-23 09:21:19下载
- 积分:1
-
mas_mli
simulation sous simulink, de la machine asynchrone triphasée avec commande MLI, onduleur triphase et vecteurs complexes de la MAS
- 2010-12-10 00:44:50下载
- 积分:1
-
Gabor
Gabor滤波器,40个Gabor滤波器,可以立即实现的(Gabor filters)
- 2013-11-07 12:43:53下载
- 积分:1
-
SSB
对已知信号进行SSB调制,然后观察其频率域特性(Known signal SSB modulation, and then observe its frequency domain characteristics.)
- 2012-10-27 15:54:38下载
- 积分:1