-
ellipsometry.rar
这个程序用来计算单层膜的厚度和折射率的信息，以及可以得到他们的局部分部信息(This file is about the caluation for the thickness and refractiveness of the sample, and the distrbution about it can be obtained)
- 2010-03-11 11:09:00下载
- 积分：1
-
ML-synchronization
说明： 包含一篇英文文章，基于ML定时同步和信道估计，内含此文章算法代码( including a English paper and its simulition code)
- 2011-03-07 15:57:36下载
- 积分：1
-
doc-process
MATLAB 中文件处理命令大全。老师的课件，很有用，希望对你有用(Document processing in MATLAB command Daquan. Teacher courseware, useful, useful to you)
- 2013-10-24 19:28:06下载
- 积分：1
-
模拟信号dsb和ssb调制 dsb-and-ssb
模拟信号dsb和ssb调制基于simulink的仿真(Dsb and ssb analog signal modulation simulink simulation-based)
- 2016-01-31 22:35:29下载
- 积分：1
-
customgauss
create custom gaussian
- 2009-10-22 13:21:32下载
- 积分：1
-
Bayes-Matlab
基于最小错误率，和最小风险的Bayes分类器Matlab
实现 (Bayes Matlab)
- 2009-05-18 10:43:49下载
- 积分：1
-
aggregate-interference-in-cognitive-radio
This is a program to describe the aggregate interference in cognitive radio
- 2013-11-21 20:03:51下载
- 积分：1
-
61046606ABCNNTrain
Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */
- 2013-12-10 16:40:45下载
- 积分：1
-
matlab
matlab 实验，这是上课的实验，有基本应用，适合信号。通信专业初学者入门使用( MATLAB exercises,are suit for students whose majors are signal processing ang communication)
- 2009-06-29 15:17:30下载
- 积分：1
-
Simplescoringsystem
说明： 简单的评分系统 实现去掉一个最高分与去掉一个最低分然后取平均值的运算(Simple scoring system to achieve the highest score and remove to remove a minimum score and then taking the average of a computing)
- 2010-04-08 19:26:45下载
- 积分：1
