异步电机的矢量控制MATLAB仿真

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

时域、频域特征已经归一化，可直接做分类或回归任务

GPS窄带干扰计算仿真

【实例简介】基于PI控制的永磁同步电机仿真，转速环、电流环均为PI控制器

【实例简介】协同微结构与宏观结构三维拓扑优化matlab代码

matlab编写的对数据进行局部加权，拟合回归算法

【实例简介】包括模糊函数图、速度模糊函数、距离迷糊函数以及脉冲压缩仿真

【实例简介】

龙贝格求积公式也称为逐次分半加速法。是数值计算方法之一，用以求解数值积分。是在梯形公式、辛普森公式和柯特斯公式之间关系的基础上，构造出一种加速计算积分的方法。 作为一种外推算法，在不增加计算量的前提下提高了误差的精度。

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.