wiu

for direction of arival

K目标跟踪中的K均值聚类法，根据预测坐标进行初始化(K means algorithm)

能提取matlab的figure文件的x,y轴数据 非常好用！ 网上收集的！(Matlab to extract the figure documents x, y-axis data is very easy to use! Online collection!)

说明：  太阳能发电系统仿真模型，供大家参考学习和使用。(soalr energy system simulation)

source code of Fundamentals of texture mapping and image warping (the source show how texture mapping works)

用于移动通信系统的防真,用MATLAB实现.里面包含了MATLAB通信系统中常用的命令集.(Mobile communication system for anti-truth, the realization of using MATLAB. Which contains the MATLAB communication systems commonly used command sets.)

利用龙格库塔法解光波导激光器的重叠因子的传输方程，从而得到输出功率(Runge-Kutta method using optical waveguide laser solutions overlap factor of the transfer equation, thus the output power)

1 SIFT 发展历程 SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。 2 SIFT 主要思想 SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。 3 SIFT算法的主要特点： a) SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性。 b) 独特性(Distinctiveness)好，信息量丰富，适用于在海量特征数据库中进行快速、准确的匹配[23]。 c) 多量性，即使少数的几个物体也可以产生大量SIFT特征向量。 d) 高速性，经优化的SIFT匹配算法甚至可以达到实时的要求。 e) 可扩展性，可以很方便的与其他形式的特征向量进行联合。 4 SIFT算法步骤： 1） 检测尺度空间极值点 2） 精确定位极值点 3） 为每个关键点指定方向参数 4） 关键点描述子的生成 本包内容为sift算法matlab源码(1 SIFT course of development SIFT algorithm by DGLowe in 1999, the perfect summary of 2004. Later Y.Ke its description of the sub-part of the histogram with PCA instead of its improvement. 2 the SIFT main idea The SIFT algorithm is an algorithm to extract local features in scale space to find the extreme point of the extraction location, scale, rotation invariant. 3 the main features of the SIFT algorithm: a) SIFT feature is the local characteristics of the image, zoom, rotate, scale, brightness change to maintain invariance, the perspective changes, affine transformation, the noise also maintain a certain degree of stability. b) unique (Distinctiveness), informative, and mass characteristics database for fast, accurate matching [23]. c) large amounts, even if a handful of objects can also produce a large number of SIFT feature vectors. d) high-speed and optimized SIFT matching algorithm can even achieve real-time requirements. e) The scalability can be very convenient fe)

常见压缩感知算法汇总，L1,OMP,GP(Common used compressed sensing algorithm summary, L1, OMP, GP)

二次规划法用拉格朗日方法求解等式约束二次规划和用有效集方法解一般约束二次规划问题(Quadratic Programming Lagrangian method for solving equality constrained quadratic programming and the use of efficient collection method for solving general constrained quadratic programming problems)