BP

恒润科技，matlab手册，里面有matlab相关模块的介绍，可以说面面俱到，很详细。(Hengrun technology, matlab manuals, which have matlab introduce relevant modules can be said to be comprehensive, very detailed.)

用matlab，根据盒维数原理计算一维曲线的分形维数。希望对大家有所帮助。(One-dimensional fractal dimension curve)

决策树的matlab 程序代码 非常好用 适合初学者(Matlab code decision tree is very useful for beginners)

matlab C编程函数速查手册，很有参考价值(matlab C Programming Functions Quick Reference, great reference value)

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.

雷达模糊函数仿真与信号处理。<br />radar ambiguity function simulation and signal processing .

说明：  用matlab编写界面，并实现图像的方向滤波和同态滤波，实用方便，效果较好(Matlab prepared to use interface, and the realization of the direction of image filtering and homomorphic filtering, practical convenience, better)

Simple-to-use interactive self-modelling mixture analysis

split bregman for sparse image reconstruction

Boundary Layer for laminar powerlaw fluid