PMUSIC

用matlab编写的GPS卡尔曼滤波跟踪算法，可用于GPS导航里目标跟踪估计等，非常好用！(Prepared using matlab GPS Kalman filter tracking algorithm can be used for GPS navigation in target tracking estimation, very easy to use!)

matlab 编写的指纹识程序 附有指纹图片(Fingerprint identification)

有关直方图均衡化原理的matlam源程序(the histogram equalization principle source of matlam)

在MATLAB平台上以拉普拉斯金字塔法实现图像融合(Image fusion Laplacian pyramid method in MATLAB platform)

运用MATLAB对波形的进行最优预处理，处理以后的曲线的效果非常好 使用的时候，把TXT里面的程序复制到在MATLAB里面新建立的.MAT文件中，按F6运行(use of MATLAB waveform for the optimal pretreatment, After dealing with the effects of the curve very good use of time TXT put inside the copy of the MATLAB inside the new building. MAT document, the operation by F6)

说明：  Simulation Montecarlo Integral

Program data interpolation by cubic splines

基于Matlab_Simulink的四轮转向汽车操纵稳定性仿真 实用性很强 可以借鉴(it is useful)

[原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载 作者: 陆振波 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士([Original] chaos analysis, cluster analysis, support vector machine, group intelligent optimization, depth learning (convolution neural network) Matlab toolbox full open source version Download Author: Lu Zhenbo Graduated from: Naval University of Engineering, Marine and Marine Engineering (Underwater Engineering), Ph.D. Depth of learning, machine learning, machine vision, group intelligence, nonlinear and chaos, Matlab and VC++ mixed, large data (1), and a large number of data processing, Image processing, intelligent vision, convolutional neural network, face detection, pedestrian detection, license plate recognition, feature extraction, image processing, image processing, image processing, ADAS, AdaBoost, LBP, HOG, MeanShift, target detection, target recognition, target tracking, data mining, large data, radar, radar, autopilot, millimeter wave radar E-mail: 41670240@qq.com Personal blog: http://blog.sina.com.cn/luzhenbo2 Welcome to peer exchange, and pleas)

matlab程序很详细,主要是kalman滤波部分程序，轨迹估计，以及误差估计等最小线性误差估计(matlab program in great detail, the main part of the program is the kalman filter, trajectory estimation, and error estimation of the minimum linear error estimation)