0-annc_slotine

这是一个动画程序，描述的是手机的充电过程，十分有趣(This is an animation program, describes the process of charging the phone, very interesting)

说明：  包含多尺度分解，小波分解及重构等程序，易于学习(xiaobofenxi)

利用keyset进行遍历，它的优点在于可以根据你所想要的key值得到你想要的 values，更具灵活性！！ (Use keyset traversal of its advantages is that worth to the values ​ ​ you want the key you want more flexibility! !)

University of Ulberta tutorials on magnetotelluric method. Matlab codes

python code for cmapss segmentation

这是Sorensen等人提出人体血糖-胰岛素模型，依据偏微分方程组搭建的simulink仿真模型。(This simulink model is based on the theory of Sorensen team, which is the blood glucose regulation mechanism of hunman. )

说明：  MUSIC算法 DOA（Direction Of Arrival）波达方向定位技术主要有ARMA谱分析、最大似然法、熵谱分析法和特征分解法，特征分解法主要有MUSIC算法、ESPRIT算法WSF算法等。 MUSIC (Multiple Signal Classification)算法，即多信号分类算法，由Schmidt等人于1979年提出。MUSIC算法是一种基于子空间分解的算法，它利用信号子空间和噪声子空间的正交性，构建空间谱函数，通过谱峰搜索，估计信号的参数。对于声源定位来说，需要估计信号的DOA。MUSIC算法对DOA的估计有很高的分辨率，且对麦克风阵列的形状没有特殊要求，因此应用十分广泛。(DOA (direction of arrival) positioning technology mainly includes spectrum analysis, maximum likelihood method, entropy spectrum analysis method and feature decomposition method. The feature decomposition method mainly includes music algorithm, ESPRIT algorithm, algorithm, etc. Music (multiple signal classification) algorithm, namely multi signal classification algorithm, was proposed by Schmidt In 1979. MUSIC algorithm is an algorithm based on subspace decomposition. It uses the orthogonality of signal subspace and noise subspace to construct spatial spectrum function, and estimates signal parameters through spectrum peak search. For sound source localization, DOA of signal needs to be estimated. MUSIC algorithm has high resolution for DOA estimation, and has no special requirements for the shape of microphone array, so it is widely used.)

对滤波器耦合矩阵中的极点和零点位置进行编程，以求出表示零点极点的多项式(Coupling matrix of the filter pole and zero position programming has been calculated F (w) E (w) polynomial)

国外一学者开发的数据描述方法的源代码，几乎包括了所有的数据描述方法，有SVDD，KSVDD等等，将会是一个很好的用于野点检测和模拟识别的工具箱，可直接使用（本人已用过）(foreign scholars development of a data description of the source code, including almost all of the data description, have SVDD, KSVDD etc., will be a good field for the detection and identification of the simulation toolkit, can be used directly (I have used).)

This is my simulation of PMSM. Hope you can edit and use it to your exercise. It is not actually correct but I think it will be useful for you.