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MATLABerroe
matlab常见错误分析及解决办法 学习(matlab analysis and solutions to common errors)
- 2010-06-03 17:18:33下载
- 积分：1
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wert
回波抵消器中常用的几种自适应滤波算法有LMS, NLMS, RLS等算法。对现有主要算法的性能进行了分析，并对优缺点进行评价和比较。为了在收敛速度和运算量之间得到很好的折衷，对NLMS算法改进，得到了 PNLMS(Echo cancellation devices commonly used in adaptive filtering algorithm has several LMS, NLMS, RLS, such as algorithms. The main algorithm of the existing performance analysis, and evaluation and comparison of the advantages and disadvantages. For the convergence between computing speed and a good compromise on the NLMS algorithm improvements have been PNLMS)
- 2020-07-04 12:20:01下载
- 积分：1
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MotifCatcher_v0.12
a MATLAB GUI platform for determination and evaluation of biologically significant motifs
- 2012-05-27 14:31:54下载
- 积分：1
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leach34
leach code with 5 optimal cluster head and direct transmission is allowed if base station is near than cluster head
- 2013-05-11 21:05:34下载
- 积分：1
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leach-matlab-improved
Improved Leach protocol
- 2014-01-08 14:01:25下载
- 积分：1
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comVision
图片印刷字符的识别（可识别多种字体）
将Matlab工作空间路径设置为本文件夹
在Matlab命令窗口内输入：
numCongnition( able1/01.jpg )
通过改图片来对不同的图进行处理，其中able1,able2,able3三个文件夹分别对应三种字体
命令窗口输出要识别的字符，并且自动弹出中间处理过程窗口
也可以运行：
num = pretreat( able1/01.jpg )
imshow(num)
直接得到预处理后的图片
再键入：
getNumber(num)
得到字符输出
(Set the Matlab workspace path to this folder
In the Matlab command window input:
NumCongnition ( able1/01. JPG)
Through change pictures to deal with different figure, including able1, able2, able3 three folders corresponding to three kinds of fonts
Command window output to identify characters, and automatically process among popup Windows
Can run:
Num = pretreat ( able1/01. JPG)
Imshow (num)
Directly after preprocessing of images
Type:
GetNumber (num)
Get the output character)
- 2014-02-17 16:37:48下载
- 积分：1
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FastDecoupledLoadFlow
Here, an implementation of Fast Decoupled Load flow is matlab platform is done. This is used for Load flow studies (Electrical).
- 2009-06-16 16:35:43下载
- 积分：1
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2012
建模竞赛2012 B 太阳能小屋光伏电池最优铺设问题(Modeling Contest 2012 B program)
- 2013-01-27 11:32:19下载
- 积分：1
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data-for-EEG-Epileptic
data for EEG Epileptic
- 2014-02-07 16:29:39下载
- 积分：1
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kmedian
The method works as follows.
1. For a data set with dimensionality, d, compute the variance
of data in each dimension (column).
2. Find the column with maximum variance call it cvmax
and sort it in any order.
3. Divide the data points of cvmax into K subsets, where K is
the desired number of clusters.
4. Find the median of each subset.
5. Use the corresponding data points (vectors) for each
median to initialize the cluster centers.
- 2013-08-10 03:45:31下载
- 积分：1
