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MATLAB潮流计算(MATLAB flow calculation)

OFDM系统接收机移除循环前缀，代码本人亲自撰写，如有疑问可讨论之(the rx_move_cyclic_prefix function of the OFDM system)

阵列信号处理中，能够识别空间多信号源的方向(Array signal processing, multiple sources to identify the direction of space)

运用遗传算法进行编码，求解汽车发动机悬置系统的固有频率的最大值(The use of genetic algorithm coding, automotive engine mounting system to solve the natural frequency of the maximum)

使用最大期望算法可以在概率模型中寻找参数最大似然估计。(Using the maximum expected algorithm can seek parameters of maximum likelihood estimation in the probabilistic model)

基于IEEE33节点的matlab潮流计算程序(Flow calculation procedures based on the the IEEE33 nodes matlab)

fibonacci - algorytm matlab(fibonacci- algorytm matlab)

mfcc.m matlab frquency an d formant method

说明：  采用BP神经网络算法进行调制样式识别的Matlab代码(Using BP neural network pattern recognition algorithm Matlab code modulation)

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.)