Testing-Individual-ACF

基于MATLAB的非导数优化仿真方面的资料(MATLAB-based non-derivative optimization simulation information)

用MOM计算V型天线的电流分布、输入阻抗及辐射方向图。其中L=0.3λ，L/a=2000，激励用δ-gap模型。(calculate the current distribution, input impedance and radiate pattern of V-antenna with MOM. L=0.3λ，L/a=2000, δ-gap source)

三相PWM的svpwm控制SIMULINK程序图(The three-phase PWM control SIMULINK program chart svpwm)

this file contains the source code for AODV routing protocol but not its simulation.

压缩包中的内容用matlab语言对算术码进行描述，并成功实现了对测试文件的压缩和解压。(This compressed package include the source code of matlab language used to describe the arithmetic algorithm. By using it,we can successfully code and decode the test file.)

MATLAB 读取 pscad 仿真数据 可识别逗号(Using Matlab to reading pscad data with find out ‘,’.)

对“data4.m”数据，采用两种特征选择算法，选择2个特征。并且进行效果比较("Data4.m" data, using the two feature selection algorithm, select two characteristics. And the effects comparison)

This paper starts by analyzing the modulation requirements of a single-phase H-bridge -source inverter, and subsequently extends the analysis to cover the more complex three-phase-leg and four-phase-leg -source inverters, with carrier-based implementation reference equations derived for all the inverters. The theoretical and modulation concepts presented have been verified both in simulation and experimentally.(This paper starts by analyzing the modulation requirements of a single-phase H-bridge-source inverter, and subsequently extends the analysis to cover the more complex three-phase-leg and four-phase-leg-source inverters, with carrier-based implementation reference equations derived for all the inverters. The theoretical and modulation concepts presented have been verified both in simulation and experimentally.)

线性调频信号匹配滤波仿真，给出了正确的相频特性，并对比了源信号与匹配核的幅频，相频特性。(LFM matched filter simulation, the correct phase frequency characteristics, and compares the source signal and the amplitude-frequency matching nuclear, phase frequency characteristics.)

2Dimension of SLAM asks the following question: “Is it possible for an autonomous vehicle to start in an unknown location in an unknown environment and then to incrementally build a map of this environment while simultaneously using this map to compute vehicle location ?