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Fortran90Handbook
This handbook is intended for anyone who wants a comprehensive survey of
Fortran 90, including those familiar with programming language concepts but
unfamiliar with Fortran. Experienced Fortran 77 programmers will be able to
use this volume to assimilate quickly those features in Fortran 90 that are not
in Fortran 77 (Fortran 90 is a superset of Fortran 77).
- 2007-11-22 19:52:30下载
- 积分：1
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CS_UKF
说明： CS_UKF当前统计模型无迹卡尔曼滤波跟踪算法CS_UKF当前统计模型无迹卡尔曼滤波跟踪算法(CS_UKF)
- 2010-04-30 17:27:26下载
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pll0
搭建pll电路，主要包括鉴相器，低通滤波器，压控振荡器，包括个部分的输出信号(Pll circuit structures, including phase detector, low pass filter, VCO, including a part of the output signal)
- 2011-05-11 12:47:51下载
- 积分：1
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classify_nn
This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn
- 2015-03-28 23:51:49下载
- 积分：1
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基于红外图像的弱小目标检测与跟踪
基于红外图像的弱小目标检测与跟踪，非常实用的检测小代码(Small target detection and tracking based on infrared image, very practical detection of small code)
- 2018-01-25 20:05:37下载
- 积分：1
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image-segmentation
bw Image Segmentation
- 2011-01-30 01:09:38下载
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7.1
对应不同的a值产生一组矢量来表示高斯脉冲波形，并计算其相应的ESD。最后，画出了各个a值所对应的脉冲波形及其ESD(a different corresponding values of a group vector to express Gaussian pulse waveform, and calculated the corresponding ESD. Finally, paint all of a value corresponding to the pulse waveform and ESD)
- 2007-03-27 19:42:25下载
- 积分：1
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1-(3)
projet 3 is very importand
- 2014-12-12 04:30:35下载
- 积分：1
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GMM
实现了EM算法对高斯混合模型进行聚类，并将聚类结果用图像展示出来，希望对混合模型的朋友有用。(The EM algorithm is implemented to cluster the Gauss mixture model, and the clustering results are displayed with images, hoping to be useful to friends of the mixed models.)
- 2018-04-12 21:26:47下载
- 积分：1
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PR1
采用身高和体重数据作为特征，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则.(Height and weight data used as the feature, under the assumption of normal distribution probability density estimation, establish Bayes minimum error rate classifier, written by the decision-making rules.)
- 2010-12-01 20:23:31下载
- 积分：1
