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part1
bpsk调制信号通过rayleigh信道的误码率测量(ber of bpsk over rayleigh channel)
- 2010-06-05 08:49:18下载
- 积分：1
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jisuanfangfa
数值分析方法,主要里面涵盖了计算方法方面matlab程序！(Numerical analysis methods, which cover the main aspects of the calculation method matlab program!)
- 2009-03-20 19:48:16下载
- 积分：1
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ssbcode
ssb调制信号，适合matlab仿真使用，功能不错，希望能帮到大家(ssb modulation signal, suitable for simulation using matlab, functions well, hope to help you)
- 2011-05-24 13:49:42下载
- 积分：1
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CreatePattern
用matlab，根据要求输出特定的pattern，作为相机标定用(Using matlab, according to the specific requirements of the output pattern, as the camera calibration with)
- 2013-09-21 09:04:43下载
- 积分：1
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2mimo
在MIMO系统中的二乘二系统的模型代码，以及性能分析。(In the MIMO system model二乘II system code, as well as performance analysis.)
- 2008-03-17 10:57:04下载
- 积分：1
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chaohundunxitonghuamotongbukongzhi
超混沌系统的滑模同步控制程序 四维超混沌系统 滑模面 同步控制 指数趋近律(Synchronization control hyperchaos system sliding mode)
- 2016-01-12 10:20:57下载
- 积分：1
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tuxiangchuli
有关matlab的图像处理课件，供初学者学习参考。(Matlab image processing related courseware for beginners to learn information.)
- 2011-01-13 20:28:13下载
- 积分：1
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wiener
在MATLAB环境下，采用维纳滤波对语音进行去噪(In the MATLAB environment using Wiener filtering of speech denoising)
- 2012-03-29 22:04:35下载
- 积分：1
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WTWPTour
WTWPTour function in wavelet processing
- 2013-05-08 01:21:00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
