metodo_relay

说明：  逆变电路，matlab simulink 仿真，适合新手入门电力电子器件仿真(Inverter circuit, matlab Simulink simulation, suitable for novice power electronic device simulation)

ali is assigned tasks for matlab

说明：  PQ分解法在计算潮流速度上大大超过N－R法，不但能应用于离线潮流计算，而且也能应用于在线潮流计算。(PQ decomposition method in the calculation of the trend of speed much higher than the N-R method, not only applies to off-line power flow calculation, but also can be used in-line power flow calculation.)

转子动力学中的单转子简支碰摩仿真matlab程序(The single rotor simply supported rotor dynamics Rubbing simulation matlab program)

完成傅里叶的变换，将时间域的信号转换到频率域(The complete Fourier transform converts the signal of the time domain to the frequency domain)

求小波分析后各层系数的功率谱值，希望对大家有所帮助( 自动检测语言 划词 双语对照 中文 » 英语<~复制 For each layer coefficient after wavelet power spectrum values, hope to be of help )

带噪语音和预处理，消除趋势项和直流分量，，各种滤波器设计(The speech with noise and preprocessing, eliminate trend term and dc component, and a variety of filter design)

Start with the runlocalization track.m which is the entrance function to your lab. This function reads two les determined by simoutle and maple input arguments which contain information about sensor readings and the map of the environment respectively, runs a loop for all the sensor readings and calls the ekf localize.m to perform one iteration of EKF localization on the readings and plots the estimation(red)/ground truth(green) and odometry(blue) information.(This lab consists of two parts: 1. A preparatory case study with a standard Kalman lter where you learn more about the behavior of the Kalman lter. Very little extra code is needed. 2. The main lab 1 problem in which you need to complete an implementation of an Extended Kalman lter based robot localization.)

战胜MATLAB必做50题，可以让你很快地活学活用MATLAB！！！(MATLAB will do over 50 questions, allowing you to quickly learn and use MATLAB! ! !)

阵列信号处理，波达方向估计算法对比，包括beamforming算法，capon算法和MUSIC算法(Array signal processing, direction of arrival estimation algorithm comparison, including beamforming algorithm, capon algorithm and the MUSIC algorithm)