Small-sample distribution estimation over sticky channels
Small-sample distribution estimation over sticky channels
复制标题
粘性通道上的小样本分布估计
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
N. Santhanam
中科院分区：
文献类型：
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作者：
Farzad Farnoud;O. Milenkovic;N. Santhanam
我们考虑基于少量可能错误的观测估计未知源分布的问题。误差被建模为由粘性信道引起的，粘性信道引入了发射源符号的重复。同时考虑了已知和未知信道参数分布的估计问题。我们提出了三种启发式算法和一种基于期望最大化的方法来解决这一问题。这些算法是迭代优化技术和Good-Turing估计器的结合。
We consider the problem of estimating unknown source distributions based on a small number of possibly erroneous observations. Errors are modeled as arising from sticky channels, which introduce repetitions of transmitted source symbols. Both the problems of estimating the distribution for known and unknown channel parameters are considered. We propose three heuristic algorithms and a method based on Expectation-Maximization for solving the problem. These algorithms represent a combination of iterative optimization techniques and Good-Turing estimators.