| 基于神经网络的最大似然空间信号参数估计 |
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| 引用本文： | 史东承,刘颖,等.基于神经网络的最大似然空间信号参数估计[J].吉林工学院学报,1995,16(2):30-35. |
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| 作者姓名： | 史东承 刘颖 |
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| 作者单位： | [1]计算机及电子工程系 [2]轻纺工程系 |
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| 摘 要： | 本文主要研究了用Hopfield神经网络实时实现最大似然多信号源空间参数估计方法。报传统最大似然信号参数估计的理论和Hopfield连续状态神经网络特性后，给出了一种实现最大似然空间参数估计模型，该神经网络模型的模拟实验结果表明，用Hopfield网络实时实现的信号参数估计方法具有与传统的最大似然参数估计法拥有同样的理论分析结果。
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| 关 键 词： | 最大似然 神经网络 参数估计 陈列信号处理 “超分辨”技术 Hopfield网络 |
An Approach to the Estimation of Maximum Likelihood Location Signal Parameters Based on Nervous Network |
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| Shi Dongcheng, Wang Hongzhi, Liu Ying.An Approach to the Estimation of Maximum Likelihood Location Signal Parameters Based on Nervous Network[J].Journal of Jilin Institute of Technology,1995,16(2):30-35. |
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| Authors: | Shi Dongcheng Wang Hongzhi Liu Ying |
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| Institution: | Shi Dongcheng; Wang Hongzhi; Liu Ying(Department of Computer & Electronic Engineering)(Department of Light Industry and Textile Engineering) |
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| Abstract: | A method for estimating the space parameters of the maximum likelyhood signal source byusing the Hopfield nervous network to real time computation was investigated.On the basis of analyzingthe traditional theory of maximum likelyhood signal parameter estimation and the characteristics of theHopfield continuous state paran1eters is proposed.The results obtained by simulation of this nervous net-work model show that the newly developed method can lead to the same theoretical conclusion as that of the traditional method. |
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| Keywords: | maximum likelyhood nervous network signal parameter estimation |
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