Application

svpwm model of 3-level npc invertersvpwm model of 3-level npc invertersvpwm model of 3-level npc invertersvpwm model of 3-level npc invertersvpwm model of 3-level npc inverter

图像频域滤波，用matlab实现了在图像频域中通过Butterworth陷波器消除周期性噪声干扰信号。(Image frequency domain filtering using matlab achieved in the frequency domain image by Butterworth notch filter to eliminate periodic noise signal.)

说明：  数字信号处理，语音信号的时频分析及滤波恢复 ； 对语音信号进行采样、滤波、加噪等处理，大作业优秀作品(Digital signal processing, speech signal time-frequency analysis and filter recovery; Sample, filter and add noise to speech signal, excellent works of large-scale operation)

Realization of alogrithm of chaos detection by determining Lyapunov exponents.

原始信号和噪音都是正弦信号的的RLS滤波(The original signal and noise are sinusoidal signals of the RLS filter)

Wolfram cellular automaton

说明：  systemview仿真：(7,4)汉明码编译码器(systemview simulation: (7,4) Hamming Code Codec)

说明：  Embedded Control Systems in C/C++: An Introduction for Software Developers Using MATLAB(Embedded Control Systems in C/C++: An Introduction for Software Developers Using MATLAB The author of this text illustrates how to implement control systems in your resource-limited embedded systems. Using C or C++, you will learn to design and test control systems to ensure a high level of performance and robustness)

In MATLAB, usually we use function bvp4c() to solve boundary value problem (BVP) of ODE. However, we also can use function ode45() to solve BVP of ODE too. However, ode45() needs all initial values at one point. Therefore we have to construct an auxiliary function, whose input argument is the missing initial value and the return output is the given boundary value, Then we can call function fsolve() to get the missing initial value. This method is particularly efficient it the ODE has one or more parameters. Also this method is essentilal for GNU Octave, because whose function bvp4c() is not programmed for parameter ODE yet.

Iterative closest poin in MATLAB