optimization-program

通过matlab仿真说明从音频中提取背景音乐的方法，并通过dsp实现(Matlab simulation shows that by extracting from the audio background music of the method, and achieved through the dsp)

说明：  自抗扰控制，线性与非线性ADRC控制程序MATLAB仿真(Active disturbance rejection control, linear and nonlinear ADRC control program matlab simulation)

matlab常用函数，是一些基本的函数，说明及使用(matlab function)

Motion Tracking =============== This tarball contains all code required to run the tracking algorithm on a sequence of images. Run the file run_tracker.m in Matlab and follow the instructions. You will need to have a directory of sequentially numbered images available. After entering the path and file types the tracker will begin processing. Once the data window appears the algorithm begins building a background model and attempts to track objects. By clicking on any of the four subwindows you can investigate the background representation (a Mixture of Gaussians) of any pixel. The two windows that then appear display the mixture once as a two-dimensional scatter plot (ignoring the blue colour component), and once as a one-dimensional evolution of the red colour component only. These plots make the internal processing visible and should help determining suitable parameters to be set in mixture_parameters.m.

这个程序是通信系统的CRC校验，完成了这方面的功能(This program is communication systems CRC, to complete the function of this area)

程序仿真得图为原信号与u律压扩信号的互补累积函数曲线图。仿真参数：子载波N=128，采用QPSK调制。(The photo shows the original simulation program was u-law signal and the signal of the complementary cumulative function expansion curve. Simulation parameters: sub-carriers N = 128, using QPSK modulation.)

The implementation of 4th order Runge Kutta integrator in Matlab.

NONLINEAR LOAD DEMONSTRATION FOR LABORATORY TYPE RECTIFIER

模型预测控制主要包含预测模型，滚动优化，在线反馈(Model predictive control mainly includes predictive model, rolling optimization, Feedback)

本程序主要是处理图像的，主要是用于求解被高幅度尖锐噪声而不是高斯分布噪声污染的信号分离问题~把问题矩阵分解成一个低秩表示的矩阵和一个稀疏矩阵，优化目标函数，用ALM方法是求解的~(This procedure is mainly to deal with the image, mainly for solving high-amplitude sharp noise rather than Gaussian noise distribution of the signal separation problem- the problem matrix is decomposed into a low-order matrix and a sparse matrix, optimization objective function, ALM method is the solution ~)