Starting from obvious similarities in operations in LDPC decoding to common neuron models, we have started making this correspondence more obvious. There are manifold possibilities to bridge the two fields, where some applications like denoising offer very obvious links, others appear much more distant.  

Student: Ahmed Elshahed Advisor: Prof. Dr.-Ing. Werner Henkel Dr. Khodr Saaifan Time frame: Spring 2016         Description: In this thesis, we consider the interference cancellation problem for the broadband digital aeronautical communication system. We investigate the L-band digital aeronautical communication system (L-DACS) in the presence of distance measuring equipment (DME) interference. First,

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Student: Yilun Zhang Advisor: Prof. Dr.-Ing. Werner Henkel Time frame: Spring 2016   Description: With increasing significance of wireless transmission, physical layer security becomes a challenging topic resulting from the Shannon’s limit. This work explores physical layer security from the aspect of information theory and discusses key generation and reconciliation by Slepian-Wolf coding and low-density

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  Student: Monder Hamruni Advisor: Prof. Dr.-Ing. Werner Henkel Oana Graur Time frame: Spring 2017           Description: The properties of the physical layer in wireless networks are exploited to generate one-time pads which are subsequently used for secure communication between legitimate users.  Previous measurements testbeds relied mostly on RSSI information, since

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Student: Usama Nadeem Advisor: Prof. Dr.-Ing. Werner Henkel Dawit Nigatu Time frame: Spring 2016   Description: Bidirectional reading processes have been recently incorporated into the Lempel-Ziv family of lossless compression algorithms namely LZ-77, LZ-78 and LZW 84.  Bidirectional compression results in better compression ratios especially if the uncompressed data contains symmetric properties. In this work

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