The most straightforward approximation is the standard Gaussian approximation, where the MAI is approximated by a Gaussian random variable. This approximation is simple, however it is not accurate in general. In situations where the number of users is not large, the Gaussian approximation is not appropriate. In-depth analysis of must be applied. The Holtzman?s improved Gaussian approximation provides a better approximation to the MAI term. The approximation conditions the interference term on the operation condition of each user.
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Gaussian Filter Matlab Code
标签: Gaussian Filter Matlab Code
上传时间: 2013-12-18
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matlab - image processing - gaussian high pass filter
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上传时间: 2013-12-16
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Autoregressive Markov Switching Model函数用于评估、仿真及预测自回归的马尔可夫转换模型。可以选择用于模型估计的分布函数。用于研究时间序列结构性变化,分析金融、股市乃至通货膨胀的研究
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very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Study document
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compute Bhattacharyya distance between two Gaussian classes
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A basic knowledge about Markov Random Fields (MRF) and its applications.
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上传时间: 2017-07-18
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A very simple Gaussian elimination code in matlab
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上传时间: 2017-07-26
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Compute Classical detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability.
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上传时间: 2013-12-09
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Compute Classical CFAR binary detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability.
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上传时间: 2013-12-22
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