FastICA

自适应最小均方（LMS）算法（基于matlab平台）(adaptive minimum mean square (LMS) algorithm (based on Matlab platform))

图形图像处理方面的一些经典例子，其中包含了8个具有指导意义的图形图像范例。(Graphic image processing aspects of some of the classic examples.)

edited the face tracking example using klt to use my facial feature points The original inbuilt example that comes with matlab can edited usin

Matlab基础及其应用教程，方便初学者学习(Matlab basis of their application tutorial, easy for beginners to learn)

turbo compressor synthetization sound

用于绘制双曲地震同相轴，以便后续的处理工作，非常有用(draw hyperbolic events)

本文件包含常用的MATLAB高阶累积量函数，是一个统计学常用的工具箱。(This document contains frequently used MATLAB higher-order cumulant function, is a commonly used statistical toolbox)

说明：  该方法自适应地将一个复杂的非平稳的多分量信号分解为若干个瞬时频率具有物理意义的乘积函数（Product function,简称PF）之和，其中每一个PF分量由一个包络信号和一个纯调频信号直接求出。包络信号就是该PF分量的瞬时幅值，而PF分量的瞬时频率则可以由纯调频信号直接求出，进一步将所有PF分量的瞬时幅值和瞬时频率组合，便可以得到原始信号的完整的时频分布。(This method adaptively decomposes a complex non-stationary multi-component signal into the sum of several product functions (PF) with physical meanings at instantaneous frequencies, where each PF component consists of an envelope signal and a pure The FM signal is directly obtained. The envelope signal is the instantaneous amplitude of the PF component, and the instantaneous frequency of the PF component can be directly obtained from the pure frequency modulation signal. Further, the instantaneous amplitude of all PF components and the instantaneous frequency are combined to obtain the complete original signal. Time-frequency distribution.)

用MATLAB求解滞微分微分方程的理论及数值模拟(Hysteresis using MATLAB to solve differential equations and numerical simulation of the theory)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):