kmeans

MATLAB最优化问题的牛顿拉格朗日求解算法(matlab: Newton-Lagrengge solver algothrim for a optimal problem )

模糊滑模观测器仿真实例，有利于进行此项研究的朋友参考，实例中包含绘图功能，简洁直观，非常简单(Fuzzy sliding mode observer simulation instance, conducive to the study of the reference to a friend, instance contains graphics, simple and intuitive, very simple)

matlab下使用penalty策略确定降噪的阈值(matlab use penalty strategy to determine the threshold denoising)

matlab一些常用的处理模块，可以直接调用，共同参考(matlab used to deal with a number of modules, you can directly call the common reference)

双闭环直流调速系统matlabsimulink仿真(double loop control sys.simulation)

S-Function（系统函数）为扩展Simulink的性能提供了一个有力的工具，本书介绍了如何编写S-Function(S-Function (system function) for the extension of the performance of the Simulink provides a powerful tool, this book describes how to write S-Function)

预处理的源定位 ------------------------------------- 各种脚本用于处理源定位中使用的时间数据。 Time2Frames.m mutilchannel时间数据转换为频谱帧 Time2TF.m 时间数据转换为相对传递函数的帧到通道1。 Frames2R.m 频谱帧转换为（freqeuncy而定）的协方差矩阵。 R2C.m 转换协方差矩阵噪声子空间（用于音乐）。 Clean_Source.m 从协方差矩阵中删除第n个最强的源极（S）。(Preprocessing for source localization ------------------------------------- Various scripts for processing time data to be used in source localization. Time2Frames.m Converts mutilchannel time data to spectral frames Time2TF.m Converts time data to frames of transfer function relative to channel 1. Frames2R.m Converts spectral frames to (freqeuncy dependent) covariance matrices. R2C.m Converts covariance matrices to noise subspace (for MUSIC). Clean_Source.m Removes the nth strongest source(s) from the covariance matrix.)

功率谱估计，多种方法，近似算法都有，值得参考(Power spectrum estimation, a number of ways, both approximate algorithm, it is also useful)

Voice/Speech recognition

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 and power spectrum, and call EMD analysis method, drawn EMD decomposition, and instantaneous amplitude and instantaneous frequency map and Hilbert spectrum and Hilbert marginal spectrum)