-
recognize
可以识别二维的条形码。读入条形码图像之后即可处理成相应的数字。但是对图像存储位置有要求,所以请按照程序前面的存储位置放置您的二维图像(Can identify the two-dimensional barcode. Reads the barcode image can be processed into a corresponding digital. But the image storage location requirements, so please be placed in accordance with the storage location of the program in front of the two-dimensional image)
- 2013-02-23 16:53:11下载
- 积分:1
-
rs
说明: R/S分析法程序,用于分析时间序列波形特征(R/S analysis program for analyzing the time series waveform feature)
- 2013-04-26 14:20:40下载
- 积分:1
-
Matlab2
Matlab教程PPT,Matlab概述与应用程序基础(Matlab PPT)
- 2010-06-04 21:39:47下载
- 积分:1
-
mmatlabtoolofa
matlab的模式识别工具箱箱,非常有助于开发可直接使用。
(Matlab pattern recognition toolbox box, very helpful in the development can be used directly.)
- 2012-07-16 18:00:48下载
- 积分:1
-
bitplane
Hi every one this code contain the bitplane slicing of the given gray scale image
- 2011-10-17 23:24:58下载
- 积分:1
-
MATLAB
精心整理的包含了近年来一些主要的关于Matlab混合编程的论文集(Finishing well in recent years includes some of the major mixed on Matlab programming Essays)
- 2008-01-23 17:34:24下载
- 积分:1
-
MapleandMatlab
利用Maple和Matlab解决科学计算问题(Using Maple and Matlab scientific computing problem solving)
- 2010-05-31 18:13:31下载
- 积分:1
-
functions
entering data
nu=input( give poisson ratio: )
e=input( give mudule of elasticity: )
ro=input( give denstity of material,ro: )
beta=input( give Damping Factor Beta: )
- 2014-10-08 15:52:49下载
- 积分:1
-
dianwangluo
电网络理论的修正节点电压方程、回路方程、割集方程编程(Fixed node voltage equations, loop equation electrical network theory, cut set equation programming)
- 2020-12-24 11:29:06下载
- 积分:1
-
dace_kriging
说明: 克里格法(Kriging,KRG)是由法国统计学家 Matheron 于 1963 年提出的,为纪念南非金矿工程师 Krige(Krige, 1951)曾于 1951 年使用回归方法对空间场进行预测的开创性研究,Matheron 将该方法命名为 Kriging,最开始该方法常被用于对矿产储量分布情况进行预(Matheron, 1963)。目前该方法作为最常用的空间插值算法,被广泛应用于地理科学、环境科学、大气科学等研究中。(Kriging (KRG) method was proposed by Matheron, a French statistician, in 1963. In order to commemorate the pioneering research of Krige (1951), a gold mine Engineer in South Africa, who used regression method to predict the spatial field in 1951, Matheron named this method Kriging. At first, this method was often used to predict the distribution of mineral reserves (Matheron, 1963) . At present, as the most commonly used spatial interpolation algorithm, this method is widely used in geographical science, environmental science, atmospheric science and other research.)
- 2020-02-10 17:27:01下载
- 积分:1