FDTD_TE

matlab 编程一百例，为 MATLAB新手准备(matlab programming 100 cases, prepared for the novice MATLAB)

说明：  使用matlab进行图象处理的经典命令.(picture command)

这是基于傅里叶变化的压缩感知稀疏分解方法，使用的是匹配追踪算法，对初学者很有帮助(This is based on Fourier transform of compressed sensing sparse decomposition method, using the matching pursuit algorithm, useful for beginners)

VSLMS algorithm for matlab dsp

室内环境的人体感应是物联网应用在安保、智能家居、节能环保方面的关键问题，近年来多普勒雷达体制的微波人体感应器作为一种高性能的室内人体传感器成为了一种热门的解决方案。微波人体感应器以雷达体制主动发射微波信号，探测回波中由目标人体产生的多普勒，输出触发信号。 国内外现有微波开关面临的主要问题是静止人体目标检测。本项目系统检测人体呼吸心跳微信息，拟通过长时间累积和滤波器提取微多普勒信息检测动目标。( Of the indoor environment of the human body induction is the Internet of things application in security, smart home, energy-saving environmental protection, the key problem of doppler radar system in recent years as a kind of high performance microwave sensor body interior human body sensor has become a popular solution. Body of microwave sensor to active microwave signal launch radar system, the detection by the target echo in the bodies of doppler, trigger signal output. Of the main problems in the domestic and foreign existing microwave switch target detection is still the human body. The project system to detect human breathing heartbeat micro information, through long time accumulation and filter extract micro-doppler information detection target. )

Mapping and Demapping technique for Alamouti coding in Matlab command line.

说明：  涵盖四种绘制三维图的方法，适合初学者，供参考(this zip consists of four methods for drawing 3D maps)

最速下降法又称为梯度法，是1847 年由著名数学家Cauchy 给出的，它是解析法中最古老的一种，其他解析方法或是它的变形，或是受它的启发而得到的，因此它是最优化方法的基础。这里给出其Matlab源程序。(The steepest descent method, also known as gradient method, was in 1847 given by the famous mathematician Cauchy, it is the oldest analytical method one, other analytical method or its variants, or inspired by it obtained and therefore it is the basis for the optimization method. Here are its Matlab source.)

Wigner-Ville Distribuition - WVD

说明：  这是一个基于matlab的Hough变换源代码，很简洁但很实用(This is a Hough transform based on the matlab source code, very simple but very practical)