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特征空间方法是现代谱估计的重要方法之一。针对噪声中的复正弦信号的模型，通过特征矢量的方法进行信号空间的分解。通过将信号空间分解为谐波信号空间和噪声信号空间这两个相互正交的空间的方法进行谱估计。Pisarenko,Music,ESPRIT算法都是这一类方法的重要算法。我们通过对不同算法进行比较分析不同算法在各种状况下的表现性能。并针对ESPRIT算法的各种改性和提升进行对比和测试。(Feature space is one of the modern spectral estimation method. Complex sinusoidal signal for the noise model, by the method of the feature vector for the decomposition of the signal space. By decomposition of the signal space to the space harmonic signal and the noise signal space, the method of the two mutually orthogonal spatial spectrum estimation. Pisarenko, MUSIC, ESPRIT algorithm is an important algorithm of this type of method. Different algorithms, our comparative analysis of the performance of different algorithms performance under a variety of conditions. And for a variety of modification and upgrading of the ESPRIT algorithm to compare and test.)

典型相关分析，分析两段数据之间的相似性，用于脑电ssvep信号分析(Canonical correlation analysis is used to analyze the similarity between two segments of data.)

MATLAB 数学工具软件实例简明教程 非常实用(MATLAB)

Fuzz c-mean Clusterin technique

CUCKOO SEARCH OPTIMIZATION

this code very good for TSOM

自适应模糊pid控制程序，使用前导入fis程序(Adaptive fuzzy pid control procedures, the use of the program before importing fis)

Eigenface core matlab code

matlab code for TEEN routing protocol for WSN

说明：  建立线路，实现线路在各种短路故障下短路点和母线处电压电流关系(The voltage current relationship between the short-circuit point and the bus bar is realized under various short-circuit faults)