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ofdm仿真-ofdmmatlab5
matlab ofdm simulation
- 2005-03-17 19:17:03下载
- 积分：1
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00050001344
Smith Nguyen Studio. Smith Nguyen eBooks. Smith Nguyen Studio. Smith Nguyen eBooks. Smith Nguyen Studio. Smith Nguyen eBooks.
- 2013-07-24 16:43:44下载
- 积分：1
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entropy-matlab
各种常用熵的matlab计算源代码，功能齐全，非常有用(A variety of commonly used entropy Matlab source code, fully functional, very useful)
- 2012-09-01 19:19:41下载
- 积分：1
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yuyintezhengfenxi
基于MATLAB的语音信号特征分析描述，描述清楚，系统的描述了语音检测处理的方法，具有较高的参考价值。(The characteristics of speech signal analysis based on MATLAB description, clear description, system description method of speech detection processing, has high reference value.
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- 2014-11-19 10:33:42下载
- 积分：1
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DS_CDMA
自己编写的MATLAB程序，原创，希望有用(I have written MATLAB program, originality, I hope useful)
- 2013-10-24 19:17:51下载
- 积分：1
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071006103
毕业论文 基于LSB图像水印系统设计matlab实现(Graduation thesis matlab based on LSB image watermarking system design)
- 2013-11-26 20:40:26下载
- 积分：1
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IterativeClosestPointMethod
ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model - matrix with model points,
data - matrix with data points,
OUTPUT:
R - rotation matrix and
T - translation vector accordingly
so
newdata = R*data + T .
newdata are transformed data points to fit model
see help icp for more information
(ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points.
Ordinary usage:
[R, T] = icp(model,data)
INPUT:
model- matrix with model points,
data- matrix with data points,
OUTPUT:
R- rotation matrix and
T- translation vector accordingly
so
newdata = R*data+ T .
newdata are transformed data points to fit model
see help icp for more information
)
- 2007-09-09 16:06:34下载
- 积分：1
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EuclideanRANSAC
RANSAC limited to Euclidean transform
- 2013-11-25 22:50:27下载
- 积分：1
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bib_mas
a complete biblio of the asynchronous machine
- 2009-02-23 15:44:54下载
- 积分：1
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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
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