Computing-in-OpenDSS

frequency estimation using pisarenko harmonic decomposition PHD

comsol求解拉普拉斯方程，对于求解偏微分方程很重要(comsol solving the Laplace equation)

说明：  Matlab射频电路设计－理论与应用(光盘)(Matlab RF Circuit Design- Theory and Applications (CD-ROM))

直流伺服电机转速 PID控制系统仿真 利用MATLAB中的simulink 对直流伺服电机的转速进行仿真(DC servo motor speed PID control system simulation using MATLAB simulink in the speed DC servo motor simulation)

6轴机械手臂关于姿态的算子，有循转和平移齐次基本算子(6 axis robotic arm on the attitude of the operator, follow rotation and translation of homogeneous basic operator )

KALMAN filter for linear time invariant estimation

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

这是一段自己编写的基于高斯模型的matlab人脸识别代码(This is a piece I have written matlab face recognition code based on the Gaussian model)

LTE-A系统中载波聚合介绍，初学者适合理解其概念(Carrier aggregation for LTE-advanced mobile communication systems.pdf)

新能源电动汽车动力锂电池模块的热模型simulink仿真分析(Thermal model simulink new energy electric vehicle lithium battery module simulation)