GPS窄带干扰计算仿真

论文《As-Projective-As-Possible Image Stitching with Moving DLT》中的拼接算法，对于视差图像拼接具有一定的鲁棒性，但是对特征点数量及其分布均匀性有较高的要求。 The success of commercial image stitching tools often leads to the impression that image stitching is a “solved problem”.The reality, however, is that many tools give unconvincing results when the input photos violate fairly restrictive imaging assumptions;the main two being that the photos correspond to views that differ purely by rotation, or that the imaged scene is effectively planar.Such assumptions underpin the usage of 2D projective transforms or homographies to align photos. In the hands of the casual user,such conditions are often violated, yielding misalignment artifacts or “ghosting” in the results. Accordingly, many existing imagestitching tools depend critically on post-processing routines to conceal ghosting. In this paper, we propose a novel estimationtechnique called Moving Direct Linear Transformation (Moving DLT) that is able to tweak or fine-tune the projective warp toaccommodate the deviations of the input data from the idealized conditions. This produces as-projective-as-possible image alignmentthat significantly reduces ghosting without compromising the geometric realism of perspective image stitching. Our technique thuslessens the dependency on potentially expensive postprocessing algorithms. In addition, we describe how multipleas-projective-as-possible warps can be simultaneously refined via bundle adjustment to accurately align multiple images for largepanorama creation.

基于matlab，读取图像文件并，并计算其图像对比度。 计算公式采用：各中心像素灰度值与周围8近邻像素灰度值之差的平方之和再除以差的个数。 注：直接运行，选取路径即可输出计算结果，十分方便。适用于大量图片待计算时使用。

透过玻璃拍摄的照片往往有镜面反射，本程序可以实现消除拍摄图片不必要的镜面反射，简单高效

这个代码是关于K-means的多视聚类算法。可用作对比试验。

关于matlab进行数字图像处理实现车牌定位

在日常的生活中，通信是人们用来传递信息的方式。随着数字系统的飞速发展，对数字系统的性能和调制解调技术要求也越来越高。同时，由于计算技术的发展，通信系统的仿真已日益普遍，已逐渐成为今天设计和分析通信系统的主要工具。 本次设计将使用MATLAB软件设计函数对2FSK调制解调技术进行仿真和研究。 本文在第一章中介绍了通信系统的组成、MATLAB的使用。

CFAR

svm分类的matlab实现

【实例简介】现代谱估计  该程序比较了各种谱估计方法的利弊

【实例简介】