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vf
Date : 2011-05-03 Size : 6.74kb User : gzhiyu

BPSk信号的matlab仿真 包括调制解调匹配误码等m代码
Date : 2011-05-04 Size : 148.5kb User : 870716395@qq.com

Example of using RTW toolbox to generate a S-Function/ C/C++ source code for a masked block in simulink
Date : 2011-05-04 Size : 7.32kb User : nofree

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仿真思路:以URKOWITZ 在1967年发表的能量检测文章以及Digham 2003、Ghasemi 2007发表的一系列文章为参考, %在AWGN信道中,给定SNR下,先产生一个原始信号(单音或者BPSK基带信号),然后叠加高斯噪声, 再进行能量检测, %对叠加信号求功率累积并对噪声功率进行归一化,然后由Pf反推一个检测门限Th,将归一化累积功率与门限比较,求超过门限次数即为检测概率。 %由此进行Monte-Carlo仿真画出Pm-
Date : 2011-05-04 Size : 1.2mb User : jerry916


Date : 2011-05-04 Size : 459.05kb User : dugushuiyi


Date : 2011-05-04 Size : 767byte User : dugushuiyi

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CISVM is a package for learning with cost intervals. It can be used when the precise cost information is not known while cost intervals are available.
Date : 2011-05-04 Size : 10.06kb User : clatter

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CS4VM is a package for efficient cost-sensitive semi-supervised learning. The package includes the MATLAB code of the algorithm CS4VM.
Date : 2011-05-04 Size : 263.52kb User : clatter

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This package includes two approaches to multi-class cost-sensitive learning, that is, mcKLR and mckNN. The description of mcKLR can be found in our TPAMI paper and CVPR'08 paper; the description of mckNN can be found in
Date : 2011-05-04 Size : 8.38kb User : clatter

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EasyEnsemble and BalanceCascade are two class-imbalance learning methods. They can adaptively exploit the majority class examples, avoiding important majority class examples to be ignored by common under-sampling while m
Date : 2011-05-04 Size : 13.37kb User : clatter

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This package contains 6 algorithms for training cost-sensitive neural networks. They are over-sampling, under-sampling, threshold-moving, SMOTE and two ensemble methods, i.e. hard-ensemble and soft-ensemble.
Date : 2011-05-04 Size : 36.34kb User : clatter

matlab的退火算法工具箱,功能相当强大
Date : 2011-05-04 Size : 61.06kb User : ljj3423@163.com
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