异步电机直接转矩控制（DTC）仿真电路图dtc

【实例简介】

【实例简介】运用matlab写出祝福某人圣诞快乐。

【实例简介】用来学习matlab有限元的书

【实例简介】sift代码详细注释可直接运行

基于TDOA声源定位算法仿真,基于TDOA声源定位算法仿真 声源定位算法是利用麦克风阵列进行声音定位，属于宽带信号，传统的MUSIC和DOA算法并不适用该场景，本仿真主要用TDOA算法进行定位。

内含libsvm工具箱、SVMs的示例程序（含代码和实例数据）、SVR的示例程序（含代码和实例数据）

差分进化算法，内涵优化函数，迭代进化曲线图，本人写论文用，代码完整

【实例简介】

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】内附一个实例，可直接运行 implement of entropy method in matlab， 用matlab实现熵权法