SN_ICIC

Das Tagebuch von Fehrs

自己做的异步电机矢量控制模型，通过运行，验证有效，word文档中有详细的建模方法。(Do their own model of induction motor vector control, by running, verify that the effective, word document in detail the modeling method.)

svpwm控制逆变器，在matlab simulink仿真环境下运行通过。需要的朋友可以下载。(three phase inverter ，use in the matlab simulink and sucefully pass.)

this is for simulation of microturbine

matlab环境下的前推后代法潮流计算程序，是7个节点的配电网。(before pushing sweep method flow calculation program matlab environment, the distribution network is seven nodes.)

这是一个模拟第3类模式地震波的matlab脚本。 This a collection of Matlab scripts that solve the antiplane (mode III) earthquake dynamic problem with slip-weakening friction, on a 1D fault embedded in a 2D homogeneous elastic unbounded medium. The problem is formulated as a boundary integral equation and the elastodynamic kernels are analytically derived in the spectral domain (spatial wavenumber). The method is explained e.g. by Morrysey and Geubelle (1997), and has been improved and extensively used by Nadia Lapusta, Alain Cochard, etc. (This is a Class 3 model simulation of seismic waves of matlab scripts. This a collection of Matlab scripts that solve the antiplane (mode III) earthquake dynamic problem with slip-weakening friction, on a 1D fault embedded in a 2D homogeneous elastic unbounded medium.The problem is formulated as a boundary integral equationand the elastodynamic kernels are analytically derived inthe spectral domain (spatial wavenumber). The method is explained eg by Morrysey and Geubelle (1997), and has been improved and extensively used by Nadia Lapusta, Alain Cochard, etc.)

说明：  OMP算法，基于压缩感知的正交匹配追踪算法，能够很好的重构出原始信号(OMP algorithm based on compressed sensing orthogonal matching pursuit algorithm that can reconstruct the original signal very good)

RSSI定位技术，基于接受信号强度的定位算法的ui仿真系统(RSSI positioning technology is based on the UI simulation system of location algorithm based on signal strength.)

软件无线电资料我的大作业，喜欢的人可以下下来自己看看吧(Software Radio information my large work, like people can look at themselves down under the bar)

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discrete-data l inear filtering problem. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation.)