多层非负矩阵分解算法

【实例简介】

进行多元线性回归

仿真的AM调制信号的循环谱循环自相关函数

MATLAB导弹追踪导引法击落飞机过程(chase.m)

信赖域方法与线搜索技术一样, 也是优化算法中的一种保证全局收敛的重要技术. 它们的功能都是在优化算法中求出每次迭代的位移, 从而确定新的迭代点.

时域、频域特征已经归一化，可直接做分类或回归任务

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.

【实例简介】匹配滤波器仿真

【实例简介】惯导四元数微分方程的四阶龙格库塔法求解matlab代码

基于支持向量机的回归拟合——混凝土抗压强度预测