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sixteen5
基于matlab编写的基本的M序列和gold序列的生成,作为其他伪随机码生成的基础。对于初学者很有帮助的(Prepared based on matlab basic sequence of M sequence and the generation of gold, as other pseudo-random code generated basis. Very helpful for beginners)
- 2011-04-21 20:22:22下载
- 积分:1
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KmeansaKNN
attached file contain two algorithm for classification.K_means and K Nearest Neiborhood.
and related m_filles in matlab
- 2011-05-08 19:32:27下载
- 积分:1
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D-MESONS
求解Ds粒子衰变的手征修正参数,涉及多目标的最优化。(Chiral symmetry-breaking parameters to Ds mesons)
- 2013-08-12 23:57:06下载
- 积分:1
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m10_9
一维自组织特征映射网络对输入向量空间进行识别分类(One-dimensional self-organizing feature map network input vector space to identify categories)
- 2009-03-12 11:25:27下载
- 积分:1
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EqVsIFFT
DVB-T 2K signal generation Eq. (2.1.4) vs. 2N-IFFT.DVB-T 2K 信号发生器matlab源代码。(DVB-T 2K signal generation Eq. (2.1.4) vs. 2N-IFFT.DVB-T 2K signal generator matlab source code.)
- 2008-05-15 13:58:03下载
- 积分:1
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DWT
ThreeLevelDWT. it explain different level and ycrcb
- 2011-10-17 17:34:30下载
- 积分:1
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FFA
FFA(快速折叠算法),实现噪声中的周期信号检测,及周期估算(FFA (fast folding algorithm), the realization of the periodic signal in noise detection, and cycle estimates)
- 2009-05-01 10:22:51下载
- 积分:1
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lle
用LLE算法来实现高维空间中流行的降维,从而在低位空间中有效表示该流行(to decrease the dimension of manifold embedded in high dimension space )
- 2013-12-01 17:01:19下载
- 积分:1
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LGPowerXB
涡旋光束,幂指数涡旋光束,新型光束,捕获粒子,特殊光学(Vortex beams, exponential vortex beams, the new beam, trapped particles, special optical)
- 2015-09-06 12:54:14下载
- 积分:1
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101259363Desktop
传统的K-medoids聚类算法的聚类结果随初始中心点的 不同而波动,且计算复杂度较高不适宜处理大规模数据集; 快速K-medoids聚类算法通过选择合适的初始聚类中心改进 了传统K-medoids聚类算法,但是快速K-medoids聚类算法 的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷,提出 一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)
- 2017-07-18 12:05:32下载
- 积分:1