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findjobj
Find all java objects contained within a java container or Matlab GUI handle
If no output parameter is specified, then an interactive GUI window will be displayed with a tree-view of all container components, their properties and callbacks.
- 2010-01-01 20:33:01下载
- 积分：1
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commande-MLI--120-180
pwm 120° 180 ° , control of inverter
- 2012-04-16 04:07:20下载
- 积分：1
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LLR
LLR caclulation for matlab
- 2014-10-20 22:27:30下载
- 积分：1
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hdlsrc
low pass filter desined in matlab signal toolbox butterworth fiter
- 2012-05-07 04:31:10下载
- 积分：1
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DoG
利用Matlab编写的组合高斯带通滤波器，可以对图像进行滤波操作。(Matlab prepared by the combination of Gauss bandpass filter, you can filter the image operation.)
- 2017-06-05 19:28:26下载
- 积分：1
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WSNpsoleach
说明： 关于无线传感器的LEACH改进的协议，是基于改进粒子群算法的，很有帮助(LEACH for Wireless Sensor improved protocol is based on improved particle swarm algorithm, useful)
- 2011-03-23 15:00:24下载
- 积分：1
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dsss_chaotic
1. BPSK modulation of data which ever you input (default data is
“MANIPAL REDDY”).
2. MANIPAL REDDY is changed into ASCII Format and into two-bit
format for BPSK Modulation.
3. Chaos is used for spreading the binary bit sequence.
4. Uniformly distributed Noise is added to Spread signal.
5. After reception Chaotic Chip sequence is used to recover message .
6. Filter is used for removing spikes and noise.
7. Note the filter is used is just for showing a little realisitic picture.
8. Appropriate filter should be used.
9. The original data in binary and recovered data in binary format are
compared
- 2013-11-19 03:06:40下载
- 积分：1
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luwenmohukongzhisimulinkfangzhen
炉温模糊控制的matlab simulink仿真（文档加程序）(Furnace temperature fuzzy control simulation matlab simulink (document plus program))
- 2013-12-06 08:43:13下载
- 积分：1
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fs_sup_relieff
Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重：
如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻起负面作用，则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules:
If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)
- 2018-04-17 14:41:55下载
- 积分：1
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fsaf
基于SystemView的汉明码编译码器的仿真(Based on the Hamming Code SystemView codecs Simulation)
- 2021-02-21 12:29:43下载
- 积分：1
