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matlabyansekongjianbianhuan
很好的图像处理代码。希望对你有用。谢谢。请多多至此(Very good image processing code. Hope useful to you. Thank you. Please lot to this)
- 2010-06-01 17:06:34下载
- 积分：1
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am_tes
am modulation with matlab
- 2011-05-29 03:53:19下载
- 积分：1
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suiji
随机信号分析实验之白噪声测试，白噪声信号的特性，包括均值、方差、相关函数、概率密度、频谱及功率谱密度等。( White noise of test random signal analysis experiment, white noise signal characteristic, including average value , variance, correlation function, probability density, frequency spectrum and power spectral density and so on. )
- 2011-08-23 16:28:43下载
- 积分：1
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plpva
说明： 用于计算幂率分布幂指数程序，在给定的一组分布中，判断该分布是否服从幂率分布(Used to calculate the power law distribution of power index procedure)
- 2010-04-06 10:09:13下载
- 积分：1
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matlab-a-VC
Vc+_+调用matlab的一个实例，包括matlab源文件，VC源文件，以及word和pdf文件说明(Vc+_+ call matlab one instance, including the matlab source file, VC source files, as well as word and pdf file description)
- 2013-07-13 16:10:42下载
- 积分：1
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SlidingMenu_Fragment_ex
大名顶顶的第三方库例子SlidingMenu，在这基础上进行调用的例子，非常有特效，看起来舒服(Examples of third-party libraries Daimyo Dingding SlidingMenu, called in this example, based on highly specific, looks comfortable)
- 2014-11-16 21:35:14下载
- 积分：1
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dco
A simple DCO- OFDM code,
- 2015-03-18 18:32:44下载
- 积分：1
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Wireless-sensor-network
基于虚拟力的无线传感器网络覆盖算法，完整可靠，可直接输出结果(Wireless sensor network coverage algorithm based on virtual force, complete and reliable, and can output directly)
- 2016-11-02 19:22:15下载
- 积分：1
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MIMOOFDMVBLAST
仿真mimo ofdm v-blast 程序(Simulation mimo ofdm v-blast procedures)
- 2009-07-20 22:14:06下载
- 积分：1
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EasyKrig_V3
克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。它首先考虑的是空间属性在空间位置上的变异分布．确定对一个待插点值有影响的距离范围，然后用此范围内的采样点来估计待插点的属性值。该方法在数学上可对所研究的对象提供一种最佳线性无偏估计(某点处的确定值)的方法。它是考虑了信息样品的形状、大小及与待估计块段相互间的空间位置等几何特征以及品位的空间结构之后，为达到线性、无偏和最小估计方差的估计，而对每一个样品赋与一定的系数，最后 进行加权平均来估计块段品位的方法。(Kriging is a technique that provides the Best Linear Unbiased Estimator of the unknown fields (Journel and Huijbregts, 1978 Kitanidis, 1997). It is a local estimator that can provide the interpolation and extrapolation of the originally sparsely sampled data that are assumed to be reasonably characterized by the Intrinsic Statistical Model (ISM). An ISM does not require the quantity of interest to be stationary, i.e. its mean and standard deviation are independent of position, but rather that its covariance function depends on the separation of two data points)
- 2013-11-27 09:56:06下载
- 积分：1
