-
ModulationRecognizingAlgorithmSmlation
说明： 能运用MATLAB7.0对信号进行识别，信号产生、参数提取及识别过程(MATLAB7.0 can use the signal recognition, signal generation, parameter extraction and recognition process)
- 2010-04-14 19:28:01下载
- 积分：1
-
IEEE_Sliding_Mode_Control_Design_Boost_Buck
sliding mode control 2
- 2012-07-08 21:34:49下载
- 积分：1
-
matlab-based-list
matlab学习的基础例题，哪本书的记不太清楚了，不过可以准确说这是适合自动化本科生初学matlab的例题。(the based list)
- 2014-12-20 12:35:42下载
- 积分：1
-
duqutupian
matlab gui 中读取图片并把图片传递给下一个按钮(read the picture and pass it to the next push button)
- 2013-05-06 09:50:58下载
- 积分：1
-
wavelet_packet_denoise
基于小波包分解的语音去噪，根据熵谱概率密度函数估计阈值，去除实际环境噪声。(Based on wavelet packet decomposition of the voice de-noising, in accordance with spectral entropy probability density function estimated threshold, the actual removal of environmental noise.)
- 2020-08-13 20:38:28下载
- 积分：1
-
Fractal-geometry--
分形几何中一些经典图形的Matlab画法 [文档在线提供](Fractal geometry of some classic graphical Matlab painting [document online])
- 2013-03-02 10:06:10下载
- 积分：1
-
PCA_tutorial
This tutorial is designed to give the reader an understanding of Principal Components
Analysis (PCA). PCA is a useful statistical technique that has found application in
fields such as face recognition and image compression, and is a common technique for
finding patterns in data of high dimension.
Before getting to a description of PCA, this tutorial first introduces mathematical
concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors
and eigenvalues. This background knowledge is meant to make the PCA section
very straightforward, but can be skipped if the concepts are already familiar.
- 2014-10-09 05:08:06下载
- 积分：1
-
Chapter2
北京航空航天大学出版的matlab从零到进阶第二章的示例程序(Beijing University of Aeronautics and Astronautics matlab published the first chapter from zero to advanced sample program)
- 2014-01-13 10:48:20下载
- 积分：1
-
duqu_xls_txt
matlab打开txt文件和excel文件，读取其中的数据(matlab open the txt files and excel files, read the data)
- 2009-05-13 16:46:05下载
- 积分：1
-
04470111
the location based collaboration, the change of the spatio- temporal relationship of the people-people or people-place is the key context for collaboration. So, the location based collaborative environment should support the spatio-temporal event sub/pub service. The key problem in spatio-temporal event subscription is how to specify the different spatio-temporal
events.
- 2013-02-19 15:44:00下载
- 积分：1
