Tap-41

说明：  卫星天线升线,保证能看外国台,是我用了三个月的时间编写而成,是我们学习卫星天线设计的理想程序(Satellite antenna booster line, guaranteed to see a foreign station, I spent three months been prepared by the satellite antenna design is the ideal learning program)

说明：  生物特征识别技术作为一种身份鉴别手段具有独特的优势。在生物特征识别系统中, 采集数据的预处 理是不可或缺的环节。以人脸识别为例, 介绍了一种在复杂背景的彩色图像中, 基于颜色和知识的生物特征预处理 方法。首先利用颜色信息从图像中分割出类肤色区域, 然后运用人脸几何特征和眼睛的提取定位人脸。仿真实验表 明, 该算法能较为准确地定位彩色图像中的正面或小角度偏转的人脸, 具有较快的运算速度。(Biometrics as an identification tool has a unique advantage. In biometric systems, collect data preprocessing is an indispensable link. To face recognition, for example, presents a complex background in color images based on color and knowledge of the biological characteristics of pretreatment. The first to use color information to separate out the classes from the image color region, and then use face extraction of geometrical features and eye positioning face. Simulation results show that the algorithm can be more accurately locate color images in a positive or small-angle deflection of the face, with a faster computational speed.)

说明：  小波分析的应用是与小波分析的理论研究紧密地结合在一起地。现在，它已经在科技信息产业领域取得了令人瞩目的成就。(Application of wavelet analysis and wavelet analysis theory closely together to. Now, it has been in the field of information technology has made remarkable achievements.)

MATLAB中gcf、gca以及gco的区别 有许多使用者会弄混淆 这里给出了详细的差别(Difference in MATLAB gcf, gca and gco have many users will get confused here gives a detailed differences)

simulation of fuel cell part 4-2

时变信道的频率选择性和时变性。系统的输入是一个BPSK信号。系统的时变特性使BPSK信号作为时间的函数，发生衰减和相位旋转。(Time-varying channel frequency selectivity and time variability. Input to the system is a BPSK signal. System is time-varying characteristics make BPSK signal as a function of time, the occurrence of attenuation and phase rotation.)

This project will filter noise from video source

matlab工程应用 对工程方面应用的详细讲解 工程专业书籍(matlab engineering applications of engineering details on the application of engineering books)

esprit 测向 direction of arrival (esprit direction finding DOA)

增广拉格朗日算法。目标函数的最优化求解，常用于逆问题的求解，是典型的L1范数算法。(Augmented Lagrangian algorithm. Solving optimization objective function, commonly used in inverse problem solving, is typical of L1-norm algorithm.)