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fisher
fisher变换可以将 维空间的样本投影到一条直线上,形成一维空间,这个就是用matlab解决fisher的例题(the fisher transform a sample-dimensional space can be projected onto a straight line, forming a one-dimensional space, this is solved with matlab fisher Example)
- 2013-04-21 10:50:34下载
- 积分:1
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jigou
原创,平面连杆机构动力学方程及仿真程序,实用!(Original, planar linkage mechanism dynamics equation and simulation program, practical!)
- 2021-03-24 16:29:15下载
- 积分:1
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4
说明: 想学习MATLAB的同志,可看一下该程序,有帮助有哦!( Wants to study Comrade MATLAB, may look that this procedure, has the help to have!)
- 2010-11-29 19:34:44下载
- 积分:1
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ice
说明: 这个功能是用于Matlab中的某个功能所使用的,非常好的一个原代码!(This feature is used in a Matlab function used, very good a the original code!)
- 2008-10-13 21:10:38下载
- 积分:1
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Tracking
递推的最小二乘算法的真实轨迹曲线、测量数据、跟踪曲线以及位置估计误差均值和标准差曲线(True trajectory recursive least squares algorithm curve, measured data, tracking curve and position estimation error of the mean and standard deviation curve)
- 2014-06-23 15:45:09下载
- 积分:1
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MUSIC算法与MMUSIC算法的测向功能对比 duibimmusic
相干信号的DOA估计,MUSIC算法与MMUSIC算法的测向功能对比(DOA estimation of coherent signals, compared with MMUSIC algorithm MUSIC algorithm finding function)
- 2020-06-28 10:20:01下载
- 积分:1
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DTW
DTW(Dynamic Time Warping,动态时间归整)算法,该算法基于动态规划(DP)的思想,解决了发音长短不一的模板匹配问题,是语音识别中出现较早、较为经典的一种算法。用于孤立词识别,DTW算法与HMM算法在训练阶段需要提供大量的语音数据,通过反复计算才能得到模型参数,而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中,DTW算法仍然得到广泛的应用。 (DTW (Dynamic Time Warping, dynamic time warping) algorithm based on dynamic programming (DP) ideas, sounds of varying lengths to solve the template matching problem, is speech recognition appeared earlier, more classic kind of algorithm. For isolated word recognition, DTW algorithm and HMM algorithm in the training phase need to provide a large number of voice data, obtained by repeated calculations to model parameters, while the DTW algorithm is almost no additional training calculations. Therefore, in isolated word speech recognition, DTW algorithm is still widely used.)
- 2010-09-27 16:54:22下载
- 积分:1
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@polynomial
VC维理论和结构风险最小化准则是统计学习理论中的重要内容,基于这一理论的支持向量机算法由于具有好的泛化性能受到重视,并被研究用于文本分类问题.基于多项式核的研究工作认为SVM的泛化能力不受多项式阶数的影响,并且能够处理很高维的分类问题,用于文本分类无需进行特征选择.研究发现,随着多项式核阶数的升高,SVM文本分类器会出现过学习现象,并且特征数越多越明显,特征选择是必需的.通过估计函数集的VC维,基于结构风险最小化理论对此问题进行分析,得出的结论跟实验结果相符.
(err)
- 2008-01-08 21:41:08下载
- 积分:1
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VCreadfilesbyline(.TXT)
逐行读取文本中的数据,自动存储到一个序列数组中(Text data read line by line, is automatically stored into an array sequence)
- 2013-10-07 11:26:06下载
- 积分:1
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SIFT
这是一个用在Matlab中对二维图像进行特征点提取的代码(This function returns IMAGE s SIFT keypoints)
- 2013-12-02 17:50:39下载
- 积分:1