gaotonglvbo

simulink模块实现的DMC仿真程序(simulink realization of the DMC simulation program module)

利用MATLAB编写，完成一定操作，并计时时间的实例。(Written using MATLAB, the completion of certain operations, and the timing instance of time.)

MFCC参数计算，也可进行语音信号处理。 本程序需要调用voicebox工具箱中的melbankm.m程序得到Mel频率滤波器组(MFCC parameters, but also for voice signal processing. This procedure required to call VoiceBox toolbox melbankm.m procedures Mel frequency filter bank)

实现数字波束形成性能仿真分析，可以激情享用。(To attain the digital beamforming performance, I wish you would enlarge the program.)

this algorithm describe the wave function for a Quantum well

说明：  本程序由MATLAB编制成的用于计算观测数据的频率和周期。(This program is used to compute the frequence and periodical.)

反馈控制系统的卡尔曼滤波器的simulink模型,用于熟悉卡尔曼滤波的MATLAB编程(simulink model Kalman filter feedback control system for the familiar MATLAB programming Kalman Filter)

说明：  matlab中，对常微分方程求解，ode45函数的应用(In MATLAB, to solve ordinary differential equation, the application of ode45 function)

Power electronics plays an important role in controlling the grid-connected renewable energy sources. This paper presents a novel adaptive neuro-fuzzy control approach for the renewable interfacing inverter. The main objective is to achieve smooth bidirectional power flow and nonlinear unbalanced load compensation simultaneously, where the conventional proportional-integral controller may fail due to the rapid change in the dynamics of the highly nonlinear system. The combined capability of neuro-fuzzy controller in handling the uncertainties and learning from the processes is proved to be advantageous while controlling the inverter under fluctuating operating conditions. The inverter is actively controlled to compensate the harmonics, reactive power, and the current imbalance of a three-phase four-wire (3P4W) nonlinear load with generated renewable power injection into the grid simultaneously.

Gaussian Laplace and GGD Random Variables Generators