TU4.R9.3

Low-Complexity Pearson-Based Detection for AWGN Channels with Offset

Antonino Favano, Luca Barletta, Politecnico Di Milano, Italy; Marco Sforzin, Paolo Amato, Micron Technology Inc., Italy; Marco Ferrari, Consiglio Nazionale delle Ricerche, Italy
Session:
Energy and Computational Efficiency
Track:
19: Communications and Networks
Location:
Lamda
Presentation Time:
Tue, 9 Jul, 16:45 - 17:05
Session Chair:
Sidharth Jaggi, University of Bristol
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Session TU4.R9
TU4.R9.1: Information-Energy Capacity Region for SLIPT Systems over Lognormal-Fading Channels
Kapila W. S. Palitharathna, Nizar Khalfet, Constantinos Psomas, University of Cyprus, Cyprus; George K. Karagiannidis, Aristotle University of Thessaloniki, Greece; Ioannis Krikidis, University of Cyprus, Cyprus
TU4.R9.2: Computationally Efficient Codes for Strongly Dobrushin-Stambler Nonsymmetrizable Oblivious AVCs
Bikash Dey, IIT Bombay, India; Sidharth Jaggi, University of Bristol, United Kingdom; Michael Langberg, SUNY Buffalo, United States; Anand Sarwate, Rutgers University, United States; Yihan Zhang, IST Austria, Austria
TU4.R9.3: Low-Complexity Pearson-Based Detection for AWGN Channels with Offset
Antonino Favano, Luca Barletta, Politecnico Di Milano, Italy; Marco Sforzin, Paolo Amato, Micron Technology Inc., Italy; Marco Ferrari, Consiglio Nazionale delle Ricerche, Italy
TU4.R9.4: An Efficient Inversion Encoding Scheme with $k$ INV Signals on Bus Transmission
Hongru Cao, Qi Cheng, Sian-Jheng Lin, University of Science and Technology of China, China
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