GLCM_Features1

无需重新初始化的水平集进化模型，Chunming Li为重新初始化做了很大的贡献(No need to re-initialize the level set evolution model, Chunming Li to re-initialize the significant contribution made)

ca码的生成，还有跟踪环路的仿真，具有一定的参考价值(ca code generation, as well as tracking loop simulation, has a certain reference value)

用高通滤波器实现的自适应干扰对消器，程序很好，很实用(High-pass filter implemented with adaptive interference canceller, the program very good, very practical)

卡尔曼滤波的MATLAB实现，是一个教程事例(updates a system state vector estimate based upon an observation, using a discrete Kalman filter.)

window 下的lua源码，值得学习,欢迎大家一起学习，下载(lua source window down, it is worth learning, welcome everyone to learn together, to download)

Matlab中的高光谱图像中的端元提取算法(An algorithm for the extraction of the end elements in hyperspectral images in MATLAB by Liuliu)

说明：  The function generates CA codes for all 32 satellites based on the settings

说明：  线性卡尔曼滤波在温度测量、自由落体运动目标追踪、GPS导航定位、石油地震勘测、视频图像目标追踪中的应用(Application of Linear Kalman Filter in Temperature Measurement, Free-falling Motion Target Tracking, GPS Navigation and Positioning, Petroleum Seismic Survey and Video Image Target Tracking)

说明：  简介 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation),1995 年由Eberhart 博士和kennedy 博士提出,源于对鸟群捕食的行为研究 。该算法最初是... 2.算法 2.1问题抽象 鸟被抽象为没有质量和体积的微粒,并延伸到N维空间,粒子i在N维空间的位置表示为矢量Xi=(x1,x2,...,xn),飞行速度表示为矢量Vi=(v1,v2,...,vn)。每个粒子都有一(matlab and GA algorithm)

程序实现了仿真信号的混合，并对混合信号进行分离，得到相互独立的信号，分离效果明显。(Program achieved a mixed signal simulation, and mixed-signal separation, be mutually independent signal separation effect is obvious.)