system_identification

This is a simple Simulink model for digital PAM in AWGN channels.

matalab电机仿真，对直流，交流，步进电机进行仿真(matalab motor simulation)

先进PID控制及Matlab仿真（第二版）PID，(advanced PID control and Matlab (2nd Edition) PID,)

逆合成孔径雷达一些基本原理的代码，适合初学者使用(Inverse synthetic aperture radar some basic principles of the code, suitable for beginners)

matlab code for Ncut segmentation algorithm

Data clustering using graph cut method

AR模型谱估计，AR模型Y_W方法实现，Yule-Walker算法，谱估计方法(AR model spectrum estimation, AR model Y_W method implementation, Yule-Walker algorithm, spectral estimation method)

利用压缩感知对雷达进行成像， 结果显示良好(Using compressed sensing to image the radar, The results are good)

颜色处理类matlab工具箱，支持图像色度、亮度编辑，颜色分段等(Deal with category colors matlab toolbox to support the image chroma, brightness edit, and so the color sub-)

Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where many number of peoples are talking simultaneously in a room and a listener is trying to follow one of the discussions. The human brain can separate the voices of different people (source separation) using neurons in the auditory region. But source separation using digital signals is difficult task with the available techniques. Several approaches have been proposed for solving this issue but most of the techniques are still in development stages. Some of the successfully tested approaches are principal components analysis (PCA) and Independent components analysis (ICA). Both the approaches work well when there are no delays or echoes present