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a complete program for calculating and plotting effective nuclear charge

说明三个分段相连的信号的傅里叶变换和时频分析；(Specify Fourier transfer and time-frequency analysis of three segments of continuous signal.)

MATLAB program and example to convert low resolution images to high resolution images

compensation of dead time effect of the inverter dead time effect causes the impact of the control performance of the INVERTER system, and pointed out that the dead time compensation, the key lies in the current phase of the acquisition, in order to overcome the practical zero of the current ambiguity of the system is proposed based on the two-phase stationary coordinate system under the feedforward dead-time compensation method. by the offset voltage of the three-phase output current cycle Fourier transform is found only compensation 1, 5, 7 harmonic components to eliminate the dead time effect. simulation and experimental results verify the correctness and feasibility of this approach.

MATLAB FOR ADAPTIVE MODULATION IN MIMO OFDM FULL CODING COMPARISON FOR AWGN AND RAYLEIGH

移动渐近线方法的源程序，里面包含两个子程序(Methods of Moving Asymptotes,incloding two programs : mmasub.m and subsolv.m)

这是个主要介绍利用MATLAB来绘图的经典程序，其中有很多程序可以直接借用，希望能对你有所帮助。(This is mainly introduces the use of MATLAB to the classic drawing process, in which there are many programs can be directly borrowed, hoping for your help.)

该模型用于搭建了一个基于时分割乘法器的电子式电能表的模型()

无刷双馈风力发电机的模型 BDFMdq 基于MATALAB的模型(Brushless doubly-fed wind turbine model MATALAB based on the model BDFMdq)

用Cohen--Coon整定公式来求P,PI,PID的个参数，其中Gc是校正器的传递函数,kp为比例系数， Ti为积分时间常数，Td为微分时间常数，输入参量vars为带迟滞--惯性环节模型的KT τ 输入参量vars为带迟滞--惯性环节的K T ι，已知参数k=vars（1）；T=vars（2）；ι=vars（3）。(With Cohen- Coon tuning formula to seek P, PI, PID' s parameters, which Gc is the corrector transfer function, kp the proportional coefficient, Ti the integral time constant, Td for the differential time constant, input parameters vars as with hysteresis- inertia model KT τ as input parameters vars with hysteresis- inertia of KT ι, the known parameters k = vars (1) T = vars (2) ι = vars (3).)