create_segmentations_from_detections

该m文件是数字信号处理实验课上的实验7：小信号放大器性能分析与仿真(The m-file is an experimental digital signal processing on the experimental class 7: small-signal amplifier performance analysis and simulation)

《精通MATLAB R2011a》电子版，内容详细，有代码示例(" Mastering MATLAB R2011a electronic version, detailed code examples)

本实验将使用MATLAB 7.0软件分别对20钢的离子渗碳和气体渗碳过程进行模拟，渗碳时间分别为1h、2h、8h、20h，渗碳温度分别为1203K、1223K、1273K、1323K。对20钢的其中一面进行一维气体渗碳，设该扩散系数和界面传递系数均与渗碳浓度无关，对渗碳厚度、渗碳速度、渗碳量和渗碳时间、渗碳温度的关系进行模拟。(In this study, using MATLAB 7.0 software 20 steel ion carburizing and gas carburizing process simulation, carburizing time were 1H, 2H, 8h, 20h, carburizing temperature of 1203K, 1223K, 1273K, 1323K. 20 steel one side of a one-dimensional gas carburizing, set the diffusion coefficient and interface transfer coefficient has nothing to do with the concentration of carburizing, the relationship of the thickness of the carburizing, carburizing speed, carburizing and carburizing time, carburizing temperature simulation.)

说明：  采用粗糙集理论实现连续数据的离散化,对理解数据的离散化有很大帮助(Using rough set theory to realize continuous data discretization)

This is Uncstned particle filter demo code.

汉明码的方针，用MATLAB自带的函数进行，然后进行比较(copare the code )

利用matlab进行主成分分析，得到各个相关系数等(Principal component analysis using matlab to get the various correlation coefficients, etc.)

PSK调制和解调，绘制星座图。有两个命令。分别是dmod和pskmod (PSK modulation Using matlab )

KALMAN滤波介绍性材料，很适合入门。对kalman滤波及其扩展做了很好的阐述。(introduction for kalman filter，especially for freshman)

pca与ica相结合的特征选择,进行主成分分析以后，再对所得特征进行独立成分分析(the combination of pca and ica for feature selection，after Principal component analysis, the resulting characteristics is has a independent component analysis )