bp

ELM算法Matlab实现,Extreme Learning Machine是一种快速神经网络学习方法(Extreme Learning Machine)

关于pf，ekf，ukf，upf，epf，并加上mcmc算法(On pf, ekf, ukf, upf, epf, and together with the MCMC algorithm)

编写的此函数是根据用户输入的数据产生等概率 的0、1序列，可以产生常用线路码型，也可以进行调制过程中的串并变换(this function is built to generate a sequence namely 0 or 1 with the same possibility)

一个MATLAB GUI程序，可以方便地用来手动标记正训练样本和负训练样本。 —————————————————— 1.首先输入要标定的数据库目录、要存放正训练样本的目录、要存放负训练样本的目录 2.点击“开始”，程序自动依次显示数据库目录中的图片 3.点击“正例”或“反例”将会把当前图片复制到相应目录 4.可以在图片上点击拖动圈出一个区域，以截取圈出的区域作为样本 5.选中“约束选取比例”可以使得最终选取的样本有固定的大小(A matlab GUI program that can be used to label training samples manually. It contains rich functions)

针对多椭圆检测问题提出了一种快速随机检测算法。该算法利用在图像中随机采样到的一个边缘点和 局部搜索到的两个边缘点以及这三个点的邻域信息确定候选椭圆,再将候选椭圆变换为对应圆,通过确认真圆来确 认真椭圆。在确定候选椭圆时,最大限度地减少随机采样点数‰ 剔除更多的非椭圆点,降低了无效采样,减少了无效 计算。数值实验结果表明:该算法具有良好的鲁棒性,其检测速度比同类算法快(Ellipse detection problem for many a fast random detection algorithm. The algorithm uses random sampling in the image of an edge point and the local search to the two edge points, as well as the three-point neighborhood information to determine the candidate ellipse, and then transformed into the corresponding elliptical candidate won, through the identification of real yen to confirm really elliptical. In determining when a candidate ellipse, to minimize random sampling points ‰ remove more non-oval points, reducing invalid sampling, to reduce the calculation invalid. Numerical experimental results show that: the algorithm has good robustness, and its detection faster than similar algorithms quickly)

ofdm simulation, cantains ber, snr. it s short code ofdm mimo, wimax wide.

从2D梯度域进行表面重建 包含快速的泊松方程解法(A fast 2D Poisson Solver in Matlab using Neumann Boundary conditions , Implementation of Frankot-Chellappa Algorithm, Robust surface reconstruction using M-estimators, Anisotropic surface reconstruction )

APMTMLHDGV01Ver2001_Tools_Software_general_05011YXC.rar华为手机刷机平台(Tools Software general )

说明：  DC MOTOR SPEED CONTROL 7

This toolbox is meant to facilitate the manipulation of images and video in Matlab. Its purpose is to complement, not replace, Matlab s Image Processing Toolbox, and in fact it requires that the Matlab Image  Toolbox be installed.    Emphasis has  been placed on code efficiency and code reuse.