tnn7_code_201212141110

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)

attached file contain two algorithm for classification.K_means and K Nearest Neiborhood. and related m_filles in matlab

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)

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)

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.)

ThreeLevelDWT. it explain different level and ycrcb

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)

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 )

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)

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.)