The paper “Path-Based Delay Variation Models for Parallel-Prefix Adders,” by Kleanthis Papachatzopoulos and Vassilis Paliouras, is published in IEEE Transactions on Emerging Topics in Computing, https://doi.org/10.1109/TETC.2023.3242555
The paper “Received Power Maximization with Practical Phase-dependent Amplitude Response in RIS-Aided OFDM Wireless Communications,” by Dimitris Kompostiotis, Dimitris Vordonis, and Vassilis Paliouras will be presented at IEEE ICASSP 2023, https://2023.ieeeicassp.org/
Three papers will be presented at MOCAST 2022 http://www.ids.uni-bremen.de/conf/mocast2022/index.html D. Vordonis, D. Kompostiotis, and V. Paliouras, “Reconfigurable Intelligent Surface-Aided OFDM Wireless Communications: Hardware Aspects of Reflection Optimization Methods,” accepted for presentation at MOCAST 2022 E. Kavvousanos and V. Paliouras, “A Low-Latency Syndrome-based Deep Learning Decoder Architecture and its FPGA Implementation,” accepted for presentation at MOCAST… Read More »
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Two papers are to be presented at https://www.iscas2022.org/ Kleanthis Papachatzopoulos and Vassilis Paliouras, “Sensitivity to Threshold Voltage Variations of Exact and Incomplete Prefix Addition Trees” Vasilis Sakellariou, Vassilis Paliouras, Ioannis Kouretas, Hani Saleh, Thanos Stouraitis, “Α High-performance RNS LSTM block”
New research results published by D. Vordonis and V. Paliouras, “Hardware Implementation and Performance Analysis of Improved Sphere Decoder in Spatially Correlated Massive MIMO Channels,” in IEEE Open Journal of the Communications Society, doi: 10.1109/OJCOMS.2021.3133014.
Delighted to have our research results published @ IEEE TVLSI: A. Mahdi, N. Kanistras, and V. Paliouras, “A Lightweight – Ultrafast Encoder for the IEEE 802.11n/ac/ax QC-LDPC Codes,” IEEE Transactions on Very Large Scale Integration Systems, Early Access, November 2020, https://doi.org/10.1109/TVLSI.2020.3034046
Vassilis Sakellariou presents his thesis on Hardware accelerators for Spiking Neural Network Simulation. Presentation at virtual room, contact V. Paliouras for access.
Thrilled to present (virtually) “An Iterative Approach to Syndrome-based Deep Learning Decoding” by Emmanouil Kavvousanos and Vassilis Paliouras at the IEEE GLOBECOM 2020 Open Workshop on Machine Learning in Communications, IEEE Global Communications Conference, 7-11 December 2020 // Taipei, Taiwan: Communications for Human and Machine Intelligence
Delighted to present (virtually) “Approximate Sorting Check Node Processing in Non-Binary LDPC Decoders” by Dimitris Chytas and Vassilis Paliouras, at the 2020 27th IEEE International Conference on Electronics, Circuits & Systems, to be held from November 23-25, 2020. https://2020.ieee-icecs.org/