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pearson_correlation_coefficient
Pearson 系数,是复杂网络 的一个重要参数(Pearson coefficient is a complex network of an important parameter)
- 2009-02-05 11:51:00下载
- 积分:1
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ARITHMETIC-coding
算术编码程序设计及具体示例,适合初学者掌握基于MATLAB的算术编码(Arithmetic coding procedures for the design and specific examples, suitable for beginners to master the arithmetic coding based on MATLAB)
- 2008-04-09 13:00:56下载
- 积分:1
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5
说明: Canny算子
Canny 算子是一种比较新的边缘检测算子,具有很好的边缘检测性能,得到了越来越广泛的应用。(Canny operator Canny operator is a relatively new edge detection operator, has good edge detection performance has been more widely used.)
- 2013-04-12 16:49:05下载
- 积分:1
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zidong
频率响应分析 系统Nyquist曲线的绘制;系统Bode图的绘制(Frequency response analysis ;Nyquist curve drawing system;系统Bode图的绘制)
- 2013-05-19 10:24:30下载
- 积分:1
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HANTS
this matlab code is for harmonic analysis in power networks for beginners.
- 2016-03-04 14:33:25下载
- 积分:1
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mica21
利用CC1000通信的仿真程序.这是适用于无线传感器网络Mica2平台的程序.(use CC1000 communication simulation program. This is applicable to the wireless sensor network platform Mica2 procedures.)
- 2006-09-23 21:14:43下载
- 积分:1
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Origin
一款比较新的绘图软件的电脑书籍,比MATLAB更容易实现(A relatively new mapping software to computer books, is more easily achieved than in MATLAB)
- 2009-10-22 10:22:35下载
- 积分:1
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OCR2
this code is to do OCR using NN
- 2010-05-25 13:16:42下载
- 积分:1
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subprogram
分数阶傅立叶变换,可用于LFM信号的相干源信号的估计(Fractional Fourier Transform can be used for LFM signal of the coherent source signal estimate)
- 2012-05-03 22:42:19下载
- 积分:1
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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