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Receiver Design for Signals in Non-Gaussian Noise: Applications to Symmetric Alpha-Stable and Middleton's Class-A Noise Models

机译：非高斯噪声信号的接收器设计：在对称Alpha稳定和Middleton A类噪声模型中的应用

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作者
Saleh, Tarik Sayed Shehata Mohamed;
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作者单位

Carleton University (Canada);

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授予单位 Carleton University (Canada);
学科
学位 Ph.D.
年度 2012
页码 147 p.
总页数 147
原文格式 PDF
正文语种 eng
中图分类
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专利

1. A Markov-Middleton Model for Bursty Impulsive Noise: Modeling and Receiver Design [J] . Ndo G., Labeau F., Kassouf M. IEEE Transactions on Power Delivery . 2013,第4期

机译：突发脉冲噪声的马尔可夫-米德尔顿模型：建模和接收器设计
2. Detection of Digital Amplitude-Phase Modulated Signals in Symmetric Alpha-Stable Noise [J] . Chavali V. Gautham, da Silva Claudio R. C. M. Communications, IEEE Transactions on . 2012,第11期

机译：对称阿尔法稳定噪声中数字调幅调制信号的检测
3. Soft-Decision Metrics for Coded Orthogonal Signaling in Symmetric Alpha-Stable Noise [J] . Souryal M. R., Larsson E. G., Peric B., IEEE Transactions on Signal Processing . 2008,第1期

机译：对称阿尔法稳定噪声中编码正交信号的软判决度量
4. Optimal bit error rate linear rake receiver for signal detection in highly impulsive symmetric alpha-stable noise [C] . Niranjayan S., Beaulieu N.C. Information Theory, 2009. CWIT 2009 . 2009

机译：最佳误码率线性瑞克接收机，用于高度脉冲对称α稳定噪声中的信号检测
5. Robust time-frequency representations for signals in alpha-stable noise: Methods and applications. [D] . Griffith, David Wesley, Jr. 1998

机译：阿尔法稳定噪声中信号的鲁棒时频表示：方法和应用。
6. A Convex Constraint Variational Method for Restoring Blurred Images in the Presence of Alpha-Stable Noises [O] . Zhenzhen Yang, Zhen Yang, Guan Gui 2018

机译：在α稳定噪声存在下恢复模糊图像的凸约束变分方法
7. Receiver design for signals in non-Gaussian noise : applications to symmetric alpha-stable and Middleton's class-A noise models [O] . Tarik Saleh -1

机译：非高斯噪声信号的接收器设计：对称alpha-stable和Middleton类的应用程序的应用
8. Probability Density Function Estimation (With Applications to Receiver Design for Reception in Non-Gaussian Noise) [R] . Evans, J. E. 1969

机译：概率密度函数估计（应用于非高斯噪声接收的接收机设计）

Receiver Design for Signals in Non-Gaussian Noise: Applications to Symmetric Alpha-Stable and Middleton's Class-A Noise Models

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