Dipl.-Ing. Mohamad Mostafa
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PhD Thesis
Topic
Equalization and Decoding: A Continuous-Time Dynamical Approach
Status
In Progress
Description
- no description yet -
Research Interests
- Iterative Methods for Communications
- Dynamical Systems
- Stability Theory
- Application of Dynamical Neural Networks in Digital Transmission
Publications
Copyright:
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M. Mostafa, W. Teich and J. Lindner
Stability Analysis of Vector Equalization Based on Recurrent Neural Networks
Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering, Springer Berlin Heidelberg, Series: Studies in Computational Intelligence, Vol. 459, Chapter 18, 2013
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DOI
M. Mostafa, W. Teich and J. Lindner
Comparison of Belief Propagation and Iterative Threshold Decoding based on Dynamical Systems
2013 IEEE International Symposium on Information Theory, 2013
Link to Document
M. Mostafa, W. Teich and J. Lindner
Vector equalization based on continuous-time recurrent neural networks
Signal Processing and Communication Systems (ICSPCS), 2011 6th International Conference on, December 2012
Link to Document
M. Mostafa, W. Teich and J. Lindner
Analysis of high order recurrent neural networks for analog decoding
Turbo Codes and Iterative Information Processing (ISTC), 2012 7th International Symposium on, August 2012
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DOI
M. Mostafa, W. Teich and J. Lindner
Global vs. local stability of recurrent neural networks as vector equalizer
Signal Processing and Communication Systems (ICSPCS), 2011 5th International Conference on, December 2011
Link to Document
DOI
M. Mostafa, W. Teich and J. Lindner
Stability analysis of recurrent neural networks with time-varying activation functions
Nonlinear Dynamics and Synchronization (INDS) & 16th Int'l Symposium on Theoretical Electrical Engineering (ISTET), 2011 Joint 3rd Int'l Workshop on, July 2011
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DOI
M. Mostafa, W. Teich and J. Lindner
Modified discrete recurrent neural network as vector detector
Circuits and Systems (APCCAS), 2010 IEEE Asia Pacific Conference on, December 2010
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M. Mostafa, W. Teich and J. Lindner
Analog realization of iterative threshold decoding based on high-order recurrent neural networks
Signal Processing and Communication Systems (ICSPCS), 2010 4th International Conference on, December 2010
Link to Document
DOI