-
creaseg.tar
水平集分割图像，有好几个水平集的算法，国外的学者写的，有文章介绍用法水平集分割图像，有好几个水平集的算法，国外的学者写的，有文章介绍用法(Level set segmentation image, there are several level set algorithm, written by foreign scholars, an article describes usageLevel set segmentation image, there are several level set algorithm, written by foreign scholars, an article describes usage)
- 2010-08-14 15:11:50下载
- 积分：1
-
fftofsinewave
matlab编写的正弦波的fft变换
需要的朋友可以下(matlab sinusoidal prepared the fft transform needs friends can under)
- 2008-01-07 18:58:50下载
- 积分：1
-
matlab-snake
matlab中的一个snake算法程序，适合初学者学习使用。(a snake algorithm matlab program, suitable for beginners to learn to use.)
- 2011-05-24 11:28:59下载
- 积分：1
-
Engineering_Optics-with_MATLA
使用MATLAB的光学工程书籍，是光电工程，光学，光电子专业人员的一本与MATLAB结合的书籍(Using MATLAB optical engineering books, is a photoelectric engineering, optics, optoelectronic professional a book with MATLAB)
- 2014-08-12 21:54:57下载
- 积分：1
-
EMD
内含两篇期刊文章，对EMD边界效应的探讨(Contains two journal articles, explore the boundary effect on EMD)
- 2014-10-15 10:16:48下载
- 积分：1
-
重复控制
电力电子变换器采用重复控制策略。在反馈回路中设置一个内部模型，使该内部模型能够很好地描述系统外部信号特性，通过该模型的作用可使系统获得理想的指令跟踪特性，具有较强的扰动抑制能力。(Repetitive Control Strategy for Power Electronic Converter.An internal model is set up in the feedback loop, which can describe the external signal characteristics of the system well. Through the function of this model, the system can obtain ideal command tracking characteristics, and has strong disturbance rejection ability.)
- 2020-06-21 03:20:01下载
- 积分：1
-
kNearestNeighbors
This program will help you to determine the neighborhood point around a point. it is very useful for point cloud processing
- 2012-06-08 04:41:13下载
- 积分：1
-
gdsii-83
Creat GDS II with Matlab
- 2014-07-10 15:48:33下载
- 积分：1
-
ejercicio1_TZ_DPZPLOT
Software Digital Filter
- 2013-03-29 01:04:23下载
- 积分：1
-
径向基函数神经网络的优点 RBF_NN_MIC
说明： 径向基函数神经网络的优点：逼近能力，分类能力和学习速度等方面都优于BP神经网络，结构简单、训练简洁、学习收敛速度快、能够逼近任意非线性函数，克服局部极小值问题。原因在于其参数初始化具有一定的方法，并非随机初始化。代码为RBF的matlab程序，可以使用但是需要自己配置数据。(Radial Basis Function Neural Network (RBF-NN) has the advantages of better approximation ability, classification ability and learning speed than BP Neural Network (BP Neural Network). It has simple structure, simple training, fast learning convergence, and can approximate any non-linear function to overcome the local minimum problem. The reason is that its parameter initialization has a certain method, not random initialization.)
- 2020-06-15 22:40:02下载
- 积分：1
