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ClusteringToolbox
A Model-based Document Clustering Toolbox
- 2010-08-28 22:35:59下载
- 积分:1
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find_means
This is the final answer check it.
- 2011-04-24 00:55:37下载
- 积分:1
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JD_CHE_fix
该代码实现TD-SCDMA的信道估计,有基于预存的midamble功能,是定点工程实现的仿真代码,与其他信道估计不同,功能完整。(The TD-SCDMA code channel estimation, a midamble based on pre-existing functions, is fixed-point implementation of the simulation code works, the different channel estimation and other functions intact.)
- 2010-12-01 22:21:12下载
- 积分:1
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doa_music
用music算法进行DOA估计的MATLAB程序(music matlab)
- 2014-12-23 15:27:36下载
- 积分:1
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数组列平均四种算法
计算声压级平均值的四种方法:算术平均法,声压均方根平均法,能量平均法等(Four methods to calculate the average of sound pressure level are arithmetic average method, pressure square root mean method, energy averaging method and so on)
- 2017-08-24 14:38:36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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crossvalind
说明: matlab的svm中使用的交叉验证函数(kfold),一般libsvm数据包中没有,需要自己加入(The svm matlab to use the cross-validation function (kfold), general packet libsvm no need to add yourself)
- 2011-04-18 18:25:07下载
- 积分:1
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AAM_RIK
this is the matlab project on aak based on face recognization
- 2011-10-02 16:29:31下载
- 积分:1
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pfactor
power factor improvement
- 2012-11-22 04:38:19下载
- 积分:1
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ga
说明: 用matlab实现,用遗传算法解决函数优化问题原代码,求出最优解与迭代次数。()
- 2008-07-05 10:11:11下载
- 积分:1