基于希尔伯特黄变换和K-means 聚类和数据场理论的复杂网络社团结构探寻.提出和分析了基于K-means 聚类的社团探寻算法和基于数据场理论的社团探寻算法, 并通过实验仿真验证了这两种算法的有效性.-Based on the Hilbert-Huang transform and K-means clustering and data field theory complex network of community structure explore proposed and analyze

包含有希尔伯特黄变换的主程序、边际谱的计算方法、并绘制了仿真信号的FFT频谱和功率谱，并调用emd分析方法，绘制了emd分解结果，以及瞬时包络和瞬时频率图，还有Hilbert-Huang谱和Hilbert边际谱- Including the main program of the Hilbert Huang transform, marginal spectrum calculation method, and draw the simulation signal FFT spectrum

hilbert提取心音包络.此程序包含心音信号的低通滤波、小波去噪、EMD分解、希尔伯特黄变换以及心音阈值定位一系列算法。-hilbert extract PCG envelope low pass filter This program contains heart sound signals, wavelet de-noising, EMD decomposition, Hilbert-Huang transform and heart sound threshold locate a se