-
matlab(source_code)
matlab 数字图像处理源码,本代码包括GUI的设计,以及数字图像中的小波变换等内容(Digital Image Processing in matlab)
- 2009-12-31 16:33:05下载
- 积分:1
-
Knapsack_dynamic_rus
Knapsack Problem. Russian version. Dynamic programming.
- 2010-05-11 13:12:53下载
- 积分:1
-
tcoug
Synopsys®
Timing Constraints and Optimization
User Guide
- 2014-08-23 17:37:56下载
- 积分:1
-
Deskt221op
matlab毕业编程【谷速软件】超球面 可以作为参考使用 在学习的过程中(Graduation matlab software programming speed [Valley] hypersphere can use as a reference in the process of learning)
- 2014-12-17 23:24:45下载
- 积分:1
-
DV_Hop_modify
针对基本无线传感器网络DV-Hop定位算法中,计算平均跳距时产生偏小误差的原因,提出了基于平均跳距修正的DV-Hop算法。改进算法中,引入信标节点个数比例、所有信标节点平均跳距的最大值以及所有信标节点平均跳距的平均值三个因子,并采用它们对平均跳距进行修正。通过Matlab软件对算法进行仿真验证,结果表明,改进后的 DV-Hop 算法有效降低了未知节点的定位误差,是一种可行的无线传感器网络节点定位解决方案。(DV-Hop localization algorithm for wireless sensor networks, we calculate the average hop distance small error of reasons, raised the DV-Hop algorithm based on the average hop distance correction. Improved algorithm, the proportion of the number of nodes, the introduction of beacons, the beacon node average maximum jump distance as well as all the beacon nodes average jump from the average of three factors, and their average hop distance correction. Matlab software simulation results show that the improved DV-Hop algorithm effectively reduce the unknown node positioning error, the solution is a viable wireless sensor network node positioning algorithm.)
- 2021-05-15 22:30:07下载
- 积分:1
-
waves.m
WAVE propagation analysis
- 2011-12-10 08:41:13下载
- 积分:1
-
VB___MATLAB
通过VB调用MATLAB实现图形和界面的结合(MATLAB realize through the VB calls the combination of graphics and interface)
- 2008-05-07 12:07:51下载
- 积分:1
-
Diagram-Ray
Calculation of radiation pattern
- 2013-03-12 21:50:06下载
- 积分:1
-
hysthresh
Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse.
- 2011-11-18 02:01:43下载
- 积分:1
-
Multivariable-Frequency-Domain-Toolbox
Multivariable Frequency Domain Toolbox
- 2013-12-04 01:37:16下载
- 积分:1