-
genetic-algorithm-TSP
介绍求解TSP问题的遗传算法，附带源代码和城市节点数据。(Introduced genetic algorithm for solving TSP problem,including the supplementary data source code and city nodes.)
- 2014-12-04 16:04:58下载
- 积分：1
-
chamfermatching
Description of the file: template matching source of Chamfer matching algorithm. It s OpenCV implementation
- 2013-11-25 23:42:19下载
- 积分：1
-
Intro_to_characters
This is intro to characters and it is for educational use only. Only for personal study.
- 2014-11-27 01:06:12下载
- 积分：1
-
Autofocus
介绍Auto focus的文章，主要介绍了对焦技术，探测技术；包括频域分析、目标函数、目标函数效能验证、影像评估效能之因素、高斯低通滤波器参数的选取、自动对焦技术；以及相关实验结果与分析。(Introduction Auto focus of the article introduces the focus technology, detection technology including frequency domain analysis, the objective function, the objective function performance verification, image assessment of the effectiveness of the factors, Gaussian low-pass filter parameter selection, auto-focus technology and related experimental results and analysis.)
- 2009-11-26 15:51:46下载
- 积分：1
-
vb-of-kalman
vb语言实现的卡尔曼滤波源程序,超级酷,建议下载(vb language Kalman filter source files, Super Cool, the proposed Download)
- 2007-05-28 18:28:27下载
- 积分：1
-
3D_HOG_Mine
3D HOG算法，需要引用库文件ffmpeg、boost等。(3D HOG ffmpeg、boost LIB)
- 2015-04-21 12:30:12下载
- 积分：1
-
DDK_Filter
This a ddk filter sample for keyboard
- 2007-10-15 01:25:22下载
- 积分：1
-
chap11
syms x
g=exp(x*sin(x))
t=taylor(g,12,2)
xd = 1:0.05:3 yd = subs(g,x,xd)
ezplot(t, [1,3]) hold on
plot(xd, yd, r-. )
title( Taylor approximation vs. actual function )
legend( Taylor , Function )(syms x g = exp (x* sin (x)) t = taylor (g, 12,2) xd = 1:0.05:3 yd = subs (g, x, xd) ezplot (t, [1 , 3]) hold on plot (xd, yd, ' r-.' ) title (' Taylor approximation vs. actual function' ) legend (' Taylor' , ' Function' ))
- 2011-07-27 18:12:56下载
- 积分：1
-
juanjihe
西安交通大学版信号与系统第一次作业，求数学卷积和C++代码(For convolution and c++ code
)
- 2012-11-07 12:25:28下载
- 积分：1
-
h.264-cuda-master
This project seeks to implement H.264 (the standard x264 is based on) to run on CUDA. Specifically we attempt to write the motion estimation module in CUDA.
Motion estimation is currently the most computationally intensive portion of the H.264 encoding process. Previous attempts to parallelize this algorithm in CUDA showed sizeable speedups but sacrificed quality by ignoring the motion vector prediction (MVp). We demonstrate the viability of a hierarchical (pyramid) motion estimation algorithm in CUDA. This solution addresses the MVp problem while still taking advantage of the CUDA framework.
- 2014-10-15 07:32:32下载
- 积分：1
