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codeforlvq
image compression using lvq
- 2010-12-07 18:36:08下载
- 积分：1
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a-novel-uwb-pulse-design
一种关于椭圆球面波函数脉冲的近似数值解法(a novel uwb pulse design algorithm)
- 2012-04-06 22:23:45下载
- 积分：1
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test_gpsArray_final
说明： gps信号的空域处理 包括gps阵列的模拟 空域的出算法(gps gps signal processing includes an array of airspace airspace of the algorithm simulation)
- 2011-04-12 11:15:47下载
- 积分：1
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DOA_vs
宽带信号方向估计,高斯噪声自相关,LFM自相关(Wideband signal direction estimation, Gaussian noise autocorrelation, LFM autocorrelation)
- 2014-04-03 23:51:15下载
- 积分：1
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Mol_HPLC
线上求解法求解色谱模型，method of lines sloving chromatographic model(Chromatography method for solving the online model, method of lines sloving chromatographic model)
- 2007-10-29 16:19:45下载
- 积分：1
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MIFS
实现基于最大互信息方法的纹理提取,能够优化提取的纹理嘻嘻的维数(mutual information for texture selection)
- 2011-11-11 16:08:31下载
- 积分：1
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MATLAB_codes
this is good reference code for design
- 2009-07-12 20:27:20下载
- 积分：1
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windowsnetwork
windows网络与通信程序设计的相关源程序哦,很不错的(windows network and communications procedures related to the design source Oh, very good!)
- 2007-01-16 15:35:24下载
- 积分：1
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FEM-and-MATLAB-programming
本书以有限单元基本理论为重点，以MATLAB程序为平台，以工程实例为背景，介绍
了有限元法及其程序设计方法。
本书讲述结构分析中有限元法的基本原理，单元类型包括平面杆系，空间杆系，平面等
参元，空间等参元，薄板壳单元和厚板壳单元等。内容涉及杆系结构、平面问题、空间问题和板壳问题。以结构线弹性静力分析为主，同时也讲述了结构的振动、稳定和动力响应分析。(This book is the basic theory of finite elements as the key to the MATLAB program as a platform to project examples as the background, the finite element method and its programming. This book describes the structural analysis of the basic principles of the finite element method, cell types including flat bar, space bar, flat isoparametric element, space isoparametric element, sheet shell and thick shell element and so on. Covering the truss structure, flat issues, space issues and shell problems. Structural linear elastic static analysis-based, but also about the structural vibration, stability and dynamic response analysis.)
- 2020-10-31 12:59:55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
