-
Ada_Boost
matlab实现的adaboost的代码。(matlab code AdaBoost achieved.)
- 2007-09-18 22:37:54下载
- 积分：1
-
matlab
说明： 基本关于matlab的书籍，包括matlab宝典，matlab编程，精通matlab7，战胜matlab必做的50道题(Basic books on matlab, including matlab Collection, matlab programming, master matlab7, matlab will do over 50 questions)
- 2010-04-20 15:51:15下载
- 积分：1
-
MIMO_TOOLS_Matlab-V2.2
MIMO TOOLBox Matlab V2.2
- 2014-10-27 18:31:47下载
- 积分：1
-
mohuyuce
对列车运行过程进行模糊预测算法优化控制并使用matlab进行仿真实验(Train running fuzzy prediction algorithm to optimize control and use matlab simulation experiments)
- 2020-10-28 16:19:57下载
- 积分：1
-
EVMDM6437_TechRef
Technical reference for DM6437 EVM Texas Ins
- 2015-01-18 11:15:26下载
- 积分：1
-
Mass-Damper-Spring3
关于Mass-Damper-Spring System 的鲁棒控制源代码(About Mass-Damper-Spring System Robust Control of source code)
- 2009-01-05 17:12:47下载
- 积分：1
-
FitDataToALogisticFunction
在这项工作中所使用的方法是基于一个由大卫阿诺德教程。
http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf
这将运行该Logistic.m带来了图形用户界面。
1。放弃在列的格式文本文件中的x值
2。放弃在山口格式文本文件中的y值
3。的阴谋初始 按钮将绘制的分布
4。 查找适合 按钮，会找到最适合
5。 重置 将删除的情节（虽然我想打扫所有的领域 -没有时间）
5。地下K，糖尿病在下列公式中的值
Ÿ 等于k/（1+进出口（- G *的（十型录）））
6。上证所给出了squred误差之间的拟合函数与实际数据的总和
7。消委会提供的相关合作关系的实际数据拟合功能和效率(The method used in this work is based on a tutorial by David Arnold.
http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf
RUN The Logistic.m this will bring up the GUI.
1. Give the x values on a text file in column format
2. Give the y values on a text file in col format
3. Plot Initial Button will plot the distribution
4. Find Fit button will find the best fit
5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time)
5. K, G, Dm are the values in the following equation
y = K./(1+exp(-G*(x-Dm)))
6. SSE gives the sum of squred error between the fitted function and the actual data
7. CC give the correlation co-efficient between the fitted function and actual data)
- 2011-05-15 18:06:06下载
- 积分：1
-
mvdr_5141040
说明： 最坏情况鲁棒自适应波束形成优化。实际应用中,由于阵元位置的细微偏差、阵元之间的幅度相位响应也不可能完全相同、以及有限采样效应等因素,使得实际的方向矢量与其理想值之间存在误差,严重影响了波束的性能。针对这一问题，论文作者在最坏情况下自适应波束形成方法进行研究，并作比较。(Worst case robust adaptive beamforming optimization. In practical applications, the errors between the actual direction vector and its ideal value are caused by the slight deviation of the element position, the impossibility of identical amplitude and phase responses between the elements, and the limited sampling effect, which seriously affects the performance of the beam. In order to solve this problem, the author of this paper studies and compares the adaptive beamforming methods in the worst case.)
- 2021-01-04 17:38:55下载
- 积分：1
-
MyPriodogram
To calculate the priodogram for each window
- 2010-07-19 03:19:05下载
- 积分：1
-
TIME-FREQUENCY
Matlab时频分析技术及其应用教材后面的源代码(Frequency analysis technology and its application materials behind when the source code Matlab)
- 2013-12-07 18:11:23下载
- 积分：1
