矩形检测-图像分割

通过MATLAB来计算阵列天线，包括线性阵列，平面阵列，还有圆形阵列(Calculated by MATLAB array, including linear arrays, planar array, as well as circular arrays )

Soluç ã o de Equaç ã o Diferencial Ordinária - Método do Ponto Médio

This code is used for find the Spectral magnitude error....and Spectral phase error....

对二维矩形阵列，进行空间谱估计！适合阵列测向的新手，建议先仔细学习基础知识。在知识积累上想进行垮越式发展，于初学者来说最重要的是能帮助你弄清楚问题根本何在。 (Of two-dimensional rectangular array, spatial spectrum estimation! Suitable for the novice to the array of measurement, it is recommended to carefully study the basic knowledge. In the accumulation of knowledge on Vietnam-style collapse would like to carry out development for the beginner to the most important thing is to help you figure out what the problem is.)

特征提取算法 一篇经典的英文文献 介绍了一种新的算法 模式识别(Feature extraction algorithm，a classic English literature describes a new algorithm for pattern recognition)

简单的脚本来读取视频文件，并跟踪单个二维红色标记使用的色调和饱和度值。最大的红色斑点检测，平均统筹此Blob位置跟踪。这段代码没有任何跟踪内置的：它把每一帧独立。 这是假设是一个常数的视频帧速率视频。由此产生的协调时间序列存储在变量：吨，结晶度和YC。(Simple script to read a video file and track a single red marker in 2D using the hue and saturation values. The largest red blob is detected and the mean co-ordinate position of this blob is tracked. This code does not have any tracking built-in: it treats each frame independently. This assumes that the video is a constant frame rate video. The resulting co-ordinate time series are stored in the variables: t, Xc and Yc.)

一种LDPC码的不同译码算法,归一化最小和 和积算法 对数域和积算法 (a different decoding algorithms on LDPC)

MATLAB支持向量机，编程实现，已用C语言转，内附Windows x64和x32(MATLAB SVM Programming implementation, has been used in C language, Windows x64 and X32)

简要介绍了怎么使用matlab求解最大值最小值问题，比较适合新手初学使用(A brief introduction to how to use matlab for solving the maximum-minimum problems, and more suitable for the novice beginner)

搜集了网上的一些比较新的STAP算法；感谢Zheng Zhou zhzhou@calpoly.edu 的贡献！ (The purpose of this tutorial is too familiarize Cal Poly students with space-time adaptive processing (STAP). By the end of this tutorial, you should have a solid understanding of how STAP works and how to build upon the foundation of STAP research here at Cal Poly. It is the hope of this author that once you completed your thesis in STAP, you would update this tutorial with more recent STAP developments so that future Cal Poly students could benefit your experience. )