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tiaozhi_shibie

于 2011-06-28 发布文件大小:2KB

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调制识别的传统算法，零中心归一化瞬时幅度的谱密度的最大值零中心归一化瞬时幅度绝对值得标准偏差零中心非弱信号段瞬时相位非线性分量绝对值的标准偏差零中心非弱信号段瞬时相位非线性分量的标准偏差零中心归一化非弱信号段瞬时频率绝对值得标准偏差(Traditional modulation recognition algorithm, the zero center owned by an instantaneous amplitude of the spectral density of the maximum zero center owned by one of the instantaneous amplitude is definitely worth the nonlinear component of the instantaneous phase of the absolute value of standard deviation of zero-center non-weak signal segment, standard deviation of zero center weak signal segment of the standard deviation of the nonlinear component of the instantaneous phase zero center owned by the instantaneous frequency of a non-weak signal segment is definitely worth the standard deviation)

文件列表：

tiaozhi_shibie.m,4943,2012-06-21

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负向选择算法的一个例子,它的基本思想就是通过采集正常数据集合生成检测器集，然后将待测数据与抗体集合中全部元素进行匹配计算，如与任一元素的匹配达到一定阈值，即判断该数据异常。(An example of negative selection algorithm. The basic idea is to collect the normal data set generated by the detector set, and then tested the data collection with the antibody to match all the elements of calculation, if any element of the match reaches a certain threshold, that determine the data exception.)

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2011-10-16 18:18:52下载

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hundun
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2014-01-05 16:18:19下载

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2012-01-26 14:16:50下载

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说明：有用的matlab源，大家看一下是否有用啦。或许对你有帮助哦。(Matlab useful source, we look at whether it is useful to you. May be helpful to you, oh.)

2008-01-04 00:00:55下载

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zuoye2
同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。(At the same time the height and weight data as features, Fisher with linear identifying method for classifier, will this classifier applied to training and test sample, to investigate the training and test error conditions. Will the training sample and values of the decision on the graph shows the boundary, and at the same time before the Bayes method with optimal classifier also paint chart, the similarities and differences of the comparison results. )

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