双向平滑DOA算法

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.

EEMD分解（eemd.m）

基于matlab，使用互检方法制作的简单的行人检测代码。

可用于雷达信号、脉冲信号的幅度相位FFT分析，适合初学者仿真使用

计算bayliss加权分布，用于差波束合成

【实例简介】COMSOL Multiphysics 提供了和MATLAB联合仿真的接口 livelink for MATLAB，利用该接口可以实现多参数，多步骤的批量仿真优化。

【实例简介】 1、了解MATLAB平台下的图像编程环境。 2、掌握用MATLAB作最小二乘多项式拟合和曲线拟合的方法。 3、鼓励不囿于固定的模式或秩序，灵活调整思路，突破思维的呆板性，找到打破常规的解决方法。

改进的积分方程模型，微波遥感领域，用于求土壤的后向散射系数

拉丁超立方采样，该文档是针对不同函数的拉丁超立方采样函数，好用，快下载

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