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.
標簽： approximation straightforward the Gaussian
上傳時間： 2017-06-03
上傳用戶：dyctj
Gaussian Filter Matlab Code
標簽： Gaussian Filter Matlab Code
上傳時間： 2013-12-18
上傳用戶：hongmo
matlab - image processing - gaussian high pass filter
標簽： processing gaussian matlab filter
上傳時間： 2013-12-16
上傳用戶：ccclll
Autoregressive Markov Switching Model函數用于評估、仿真及預測自回歸的馬爾可夫轉換模型。可以選擇用于模型估計的分布函數。用于研究時間序列結構性變化，分析金融、股市乃至通貨膨脹的研究
標簽： Autoregressive Switching Markov Model
上傳時間： 2013-12-26
上傳用戶：huql11633
very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Study document
標簽： Decision-Based Probabilistic Gaussian Networks
上傳時間： 2014-01-02
上傳用戶：saharawalker
compute Bhattacharyya distance between two Gaussian classes
標簽： Bhattacharyya Gaussian distance compute
上傳時間： 2017-06-18
上傳用戶：caiiicc
A basic knowledge about Markov Random Fields (MRF) and its applications.
標簽： applications knowledge Markov Fields
上傳時間： 2017-07-18
上傳用戶：lvzhr
A very simple Gaussian elimination code in matlab
標簽： elimination Gaussian simple matlab
上傳時間： 2017-07-26
上傳用戶：水中浮云
Compute Classical detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability.
標簽： detection Classical threshold additive
上傳時間： 2013-12-09
上傳用戶：hwl453472107
Compute Classical CFAR binary detection threshold for radar detection under additive Gaussian white noise criterion and specified false alarm probability.
標簽： detection Classical threshold additive
上傳時間： 2013-12-22
上傳用戶：希醬大魔王
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