-
MonteCarlo
说明： 全球最新交叉学科，生物医学光学成像，蒙特卡洛粒子模拟，包含常用光学特征计算(The latest global interdisciplinary, biomedical optical imaging, Monte Carlo particle simulation, including the optical characteristics of commonly used terms)
- 2010-03-26 08:57:47下载
- 积分：1
-
OMP
说明： 压缩感知稀疏恢复中使用的OMP算法，matlab例程(OMP algorithm and MATLAB routine used in compressed sensing sparse recovery)
- 2019-04-09 09:20:25下载
- 积分：1
-
zoom
C语言实现bmp图像放大缩小，24位bmp图像(The C language bmp image zoom, 24 bmp image)
- 2012-10-13 20:06:16下载
- 积分：1
-
main
图像球面化，对于输入的图片进行球面变换达到图形变形的效果(Spherical image of, for input images to spherical transformation to achieve the effect of graph distortion)
- 2020-11-26 14:19:30下载
- 积分：1
-
wancheng
电子稳像。。。基于灰度的电子稳像，利用matlab来实现的，，，，课程设计(Electronic image stabilization. . . Grayscale electronic image stabilization, the use of Matlab to achieve, and curriculum design)
- 2012-07-31 00:32:27下载
- 积分：1
-
10784
彗星窗口水印源码例程程序结合易语言模块彗星窗口水印.ec，实现窗口水印效果。(Comets window watermark source program combines easy language module routines comet window watermark .ec, achieve window watermark effect.)
- 2014-10-10 09:59:55下载
- 积分：1
-
modeling_a_city
该文档描述了如何使用sketchup制作3D模型，并上传到google的3D仓库。(This document describes how to create 3D models using sketchup and uploaded to google' s 3D warehouse.)
- 2011-06-02 02:05:40下载
- 积分：1
-
SAR-image-registration
matching algorithm based on SIFT algorithm,
extract feature points in use of Harris corner detection algorithm
- 2012-12-23 14:17:17下载
- 积分：1
-
FAST-ICA
1、对观测数据进行中心化，；
2、使它的均值为0，对数据进行白化—>Z；
3、选择需要估计的分量的个数m，设置迭代次数p<-1
4、选择一个初始权矢量（随机的W，使其维数为Z的行向量个数）；
5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W （这个公式是用来逼近负熵的）
6、用对称正交法处理下W
7、归一化W(:,p)=W(:,p)/norm(W(:,p))
8、若W不收敛，返回第5步
9、令p=p+1，若p小于等于m,返回第4步
剩下的应该都能看懂了
基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)
- 2013-06-27 15:39:00下载
- 积分：1
-
CSOMP
稀疏重建压缩感知算法，可对图像进行稀疏重建。(Sparse reconstruction compressed sensing algorithm can reconstruct image sparsely.)
- 2018-12-03 15:40:09下载
- 积分：1
