05-MATLAB

upqc with model predictive control

计算空间几何距离的MATLAB计算机算法(Spatial geometric distance calculation algorithm MATLAB computer)

无标度网络的传播震荡毕业设计论文和源程序，主要有无标度网络的建立及其同步特性的分析，具有群落结构的无标度网络及其同步特性分析，还包括社会网络及其同步特性的分析(Scale-free networks spread shock design graduate papers and source code, mainly to establish whether the scale-free network analysis and synchronization features, with a community structure and scale-free network synchronization feature analysis, but also include social networking and synchronization Characteristics Analysis)

基于小波变换的电力系统谐波检测与分析研究(Power system harmonic wavelet-based detection and analysis)

使用MATLAB从你的iPhone或iPad上的内置传感器采集传感器数据(Use MATLAB to acquire sensor data from built-in sensors on your iPhone or iPad. )

ask仿真电路 调制解调 所有性能参数都有 全面深入了解ask的产生(ask the circuit simulation)

均衡效果好，这是基于最大似然估计的均衡器(With the development of high-speed optical fiber communication systems, polarization mode dispersion (PMD) has become a vital limiting factor. However, the traditional compensation methods which in optical domain have the disadvantages of complexity and cost. In recent years, the compensation methods which in electronic domain are given more attention because of their outstanding price advantage and their strong adaptability. The maximum-likehihood sequence estimation (MLSE) equalizer based on the Viterbi algorithm was designed in this paper.The MLSE equalizer can effectively compensate the intersymbol interference caused by polarization mode dispersion (PMD). First, the background and the spectrum of the text were introduced also the principles of PMD and the FFE/DFE equalizer were analysed. Second, the principles of Viterbi and the structure of MLSE were researched also the MLSE equalizer was simulated with the Matlab program in the optical fiber communication systems. T)

transformata fouriera obrazow

地震SV波的源代码，得出反射系数，透射系数，转换波的反射系数，透射系数等(SV wave seismic source code, come the reflection coefficient, transmission coefficient, reflection coefficient, transmission coefficient converted waves, etc.)

说明：  自己编写的卡尔曼滤波算法算例，实现四阶AR模型的最优权值估计。(Kalman filter algorithm, for optimal weight estimating of fourth-order AR model.)