-
1
说明: 基于MATLAB神经网络的工业现场数字字符识别,使用MATLAB工具,实现显示识别。(MATLAB Neural Network Based Character Recognition industrial field, use the MATLAB tools to achieve display identification.)
- 2010-03-12 11:03:22下载
- 积分:1
-
NMFPSVM
本程序用于基因数据的分类,我自己写了一个基于欧氏距离的费舍尔判据,选取有代表性的基因,最后用NMF将矩阵分解,对得到的矩阵进行分类,分类用的是自带的svm算法(It is used for classfication, I wrote a fisher criterion based on Euclidean distance, selecting representative genes,after NMF,classification with the SVM algorithm is shipped
)
- 2014-09-27 09:40:52下载
- 积分:1
-
deal-picture
使用自适应中值滤波器对图像做预处理,实现图像的消噪(Use adaptive median filter to the image preprocessing, to achieve image denoising)
- 2014-10-10 16:18:53下载
- 积分:1
-
speech_oscilloscope_2
Speech oscilloscope using matlab
- 2013-11-12 14:44:48下载
- 积分:1
-
Super-resolution-reconstruction
超分辨率图像重建基础教程,Super-resolution image reconstruction(Super-resolution image reconstruction)
- 2013-11-23 17:14:49下载
- 积分:1
-
Illumination-intensity-model
文件中包含一个用matlab simulink搭建的光照强度模型和一个画出不同月份某一天光照强度随时间变化曲线图的matlab脚本程序。(File contains a model of the light intensity with matlab simulink to build and a month to draw different light intensities a day versus time graph matlab script.)
- 2017-01-11 17:30:14下载
- 积分:1
-
adapt_filter_arithmetic
自适应算法实例,学习自适应很好的东西,本文件为matlab文件。(Adaptive algorithm instance, a very good thing to learn self-adaptive, this document matlab file.)
- 2009-11-21 13:56:32下载
- 积分:1
-
MATLABchazhi
matlab插值,详细介绍了MATLAB在插值已及实验数据处理方面的应用(matlab interpolation, described in detail in MATLAB and experimental data have been interpolated deal with the application)
- 2008-05-22 19:07:14下载
- 积分:1
-
chap3
刘金琨老师书上的滑模matlab模型程序,很具有代表性的例子。(Liu Jinkun teacher book sliding mode matlab model program, it is a typical example.)
- 2013-04-16 15:22:04下载
- 积分:1
-
Channel-Estimation
信道估计,we will assume that the receiver knows your name, i.e., it knows s (and of course
x). Based on this knowledge, the receiver will estimate h using the MVU and MMSE method
(for the latter it is also assumed that the variance of the noise σ2 is known at the receiver).(Channel Estimation:we will assume that the receiver knows your name, i.e., it knows s (and of course
x). Based on this knowledge, the receiver will estimate h using the MVU and MMSE method
(for the latter it is also assumed that the variance of the noise σ2 is known at the receiver).)
- 2014-09-07 16:43:35下载
- 积分:1