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mohujulei
模糊聚类方法,用相关系数法构造模糊相似关系矩阵r,构造了模糊等价评判矩阵,为了方便下载者使用,把代码进行了优化,可直接把矩阵带进去使用。(Fuzzy clustering method, using the correlation coefficient method to construct the fuzzy similarity relation matrix r, construct a fuzzy equivalence evaluation matrix, in order to facilitate the download to use, the code has been optimized, can go directly to the matrix with the use.)
- 2010-09-09 14:05:55下载
- 积分:1
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cordic_midterm_report[1]
一篇基于Matlab到OFDM研究开发的论文,有需要的朋友可以下载看看(An OFDM-based research and development of Matlab to the papers, a friend in need can be downloaded to see)
- 2010-11-21 00:15:20下载
- 积分:1
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sy4
说明: 一些关于iir滤波器设计的matlab实验代码(Some information about IIR filter design matlab code experiment)
- 2008-12-02 19:26:26下载
- 积分:1
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matlab模糊聚类程序 动态聚类图程序
利用MATLAB做模糊聚类,并且画出系谱图(MATLAB fuzzy clustering dynamic graph)
- 2021-04-22 02:58:49下载
- 积分:1
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boshuyumusic
矢量阵的波束域music算法,克服在阵元域波进行music算法需要较高的信噪比及各阵元需要相位意志性的缺点(Vector array beam domain music algorithms, to overcome the array element in the music domain wave algorithm requiring a higher level of signal to noise ratio and the array element will need to phase of the shortcomings of)
- 2007-12-08 16:13:49下载
- 积分:1
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jiashejianyan
参数假设检验:对差异进行定量的分析,确定其性质,是随机误差还是系统误差.为给出两者界限,找一检验统计量T,在H0成立下其分布已知。(Parameter hypothesis test: a quantitative analysis of the differences, to determine its nature, is random error or system error. Is given two boundaries, looking for a test statistic T, its distribution under the establishment of the H0 known.)
- 2010-12-09 11:52:28下载
- 积分:1
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Gcenterblock
说明: 计算图像的重心坐标很好的程序,利用重心法,相信不会让你失望的!(Very good image of the center of gravity coordinates calculation process, the center of gravity method, that will not let you down!)
- 2011-04-12 10:33:59下载
- 积分:1
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Serie_Fourrier
caalcul fourier series in matlab
- 2013-11-21 23:18:45下载
- 积分:1
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imp1
denoising by improved thresholding
- 2012-02-06 17:50:53下载
- 积分:1
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rocplot
ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option).
It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier
- 2009-12-14 20:49:44下载
- 积分:1