Chapter3

说明：  16PSK系统仿真，m文件程序分析了系统的误码率，作出了仿真误码率曲线，与理论误码率曲线进行比较感觉不错。(16PSK system simulation, m file program analysis of the BER, bit error rate curve to the simulation, and compare theoretical BER curves feel good.)

描述倒立摆的仿真图，采用模糊控制的算法和最优控制策略。(The simulation diagram describing the inverted pendulum, fuzzy control algorithm and the optimal control strategy.)

此文件中有部分内容，对于初学MATLAB的人有帮助，前俩部分是一些MATLAB的基础操作，第三部分是线性方程数值解的雅克比迭代和高斯—赛德尔迭代的例子，第四部分是Gauss-Legendre积分公式，Newton-Cotes积分公式的俩个数值积分的例子，第五部分是Euler公式、向后Euler公式、改进Euler公式，二阶Runge-Kutta等方法（微分方程数值解）。(The first two parts are basic operations of MATLAB. The third part is examples of Jacobian iteration and Gauss-Seidel iteration of numerical solution of linear equation. The fourth part is examples of Gauss-Legendre integral formula and Newton-Cotes integral formula. The fifth part is Euler formula, backward Euler formula, improved Euler formula, second-order Runge-Kutta method (numerical solution of differential equation).)

本程序给出了ab滤波算法和Kalman滤波算法。 程序以叠加噪声的二维CV运动为例(包含轨迹突变情况)，分别运用了ab滤波算法和Kalman滤波算法 对运动轨迹进行了跟踪，并比较了滤波性能。(This program give the Kalman filter algorithm and ab filter algorithm. Program uses the two-dimensional noise superimposed exercise as an example CV (including locus mutation), respectively ab filtering algorithm using Kalman filtering algorithm and Exercise carried out on the track to track, and compare the performance of the filters.)

包含Matlab课件及源程序，对Matlab的基本理论和实际中的应用进行描述，有利于MatlaB的自学。(Includes courseware and Matlab source code, the basic theory of Matlab and practical application in the description of the self in favor MatlaB.)

音频信号频谱分析:应用普通录用软件录制声音，对其进行时域和频域分析(audio signal frequency analyse)

matlab 的拟牛顿方法，减少计算导数带来的计算量的一种迭代方法，用来计算非线性问题。(matlab quasi-Newton methods to reduce the computational calculation of the amount of the derivative of an iterative method to calculate the nonlinear problem.)

Lattice Boltzmann Method Simplified 2D Cavity Flow D2Q9, for educational purpose only.

Notch filter demonstration

Power Distribution 3 phase fault demo using simulink