锁相环simulink建模仿真.rar

很详细的RD经典算法，适合初学者% 零斜视角情况下的单个点目标的时域性质:% % 在方位向，信号能量随着远离波束中心而逐渐衰减。% 当距离向调频率Kr为正时，相位等值线为双曲线；当距离向调频率Kr为负时，相位等值线为椭圆。% 图中多出来的“鞍点”和“靶点”表明相位等值线存在虚像，故仅给出相位图等价于将复数信号表示成实数信号。

simulink 模型预测控制.slx

【实例简介】 背包问题：现有一小偷入室盗窃，可以偷窃的物品数量共有12件，物品对应的价值（万）为[5;10;13;4;3;11;13;10;8;16;7;4]； 重量（千克）为[2;5;18;3;2;5;10;4;11;7;14;6]。若小偷能拿的物品总质量最大为46kg，如何选取物品使得总价值最大？

【实例简介】中性点经线圈接地单相对地短路仿真

【实例简介】稳态

数字万用表的labview实例

FIR滤波器源码 Verilog FPGA设计

卡尔曼角度测量（俯仰角和方位角）KEM_angle_3D.m

裂缝区域识别(matlab代码)

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.