MVT_v1_0

用振型分解法求解框架结构的地震反应，地震波为EI Centro波(Using modal decomposition method to solve the seismic response of frame structure, seismic waves for EI Centro wave)

Matlab有关于天线结构设计的源代码分析，适用于RF的天线设计工程师(Matlab about the antenna structure design source code analysis for RF antenna design engineer)

说明：  pmsm的观测器matlab函数，基于ESO理论编写(Matlab function of PMSM observer, based on ESO theory)

Rayleigh 信道仿真模型 参考"Autoregressive modeling for fading channel simulation", IEEE Transaction on Wireless Communications, July 2005. (Rayleigh channel simulation model reference Autoregressive modeling for fading channel simulation , IEEE Transaction on Wireless Communications, July 2005.)

ModbusRTU 功能模块,ModbusRTU协议是工业上最常见的通讯协议之一 本模块先前运用在PIC系列单片机上,稍作修改可以运用到其他场合.(ModbusRTU Modules For Embedded Development )

关于模式识别，的一个大作业，是用贝叶斯区分男女的(bayes )

arc engine初级代码开发，对初学者很有帮助。希望能帮助广大初学者。代码很短，但是很经典。下载后可以直接用。(arc engine primary code development, helpful for beginners. Hoping to help the beginners. Code is very short, but very classic. After downloading can be used directly.)

this matlab model describes harmonics generation for study very useful

说明：  波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)

KNN是常用的一个对于大维数据分类的方法，大家可以参考下(KNN classify)