FPGA ACCELERATION FOR COMPUTATIONALLY EFFICIENT SYMBOL-LEVEL PRECODING IN MULTI-USER MULTI-ANTENNA COMMUNICATION SYSTEMS

FPGA Acceleration for Computationally Efficient Symbol-Level Precoding in Multi-User Multi-Antenna Communication Systems

In this paper, we demonstrate an FPGA-accelerated design of the computationally efficient symbol-level precoding (SLP) for high-throughput communication systems.The SLP technique recalculates the optimal beam-forming vectors by solving a non-negative least squares problem per every set of transmitted symbols.It exploits the advantages of constructi

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Development, implementation, and pilot study of a sentinel network ("The Watchtowers") for monitoring emergency primary health care activity in Norway

Abstract Background In Norway there is a shortage of valid health activity statistics from the primary care out-of-hours services and the pre-hospital emergency health care system.There is little systematic information available because data registration is lacking or is only recorded periodically, and definitions of variables are not consistent.Me

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SAOCOM-1 L-Band DInSAR Time Series Generation Through the P-SBAS Approach: Algorithm Extension and Products Analysis

We present in this work the new advances of the differential synthetic aperture radar (SAR) interferometry (DInSAR) technique referred to as the parallel Small BAseline Subset (P-SBAS) approach for the generation of displacement time series from the recently available L-band SAR 360 image sequences acquired by the Argentinian SAOCOM-1 constellation

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Data-Driven Supervised Learning for Life Science Data

Life science data are often encoded in a non-standard way by means 15Amp Mains Plug Top of alpha-numeric sequences, graph representations, numerical vectors of variable length, or other formats.Domain-specific or data-driven similarity measures like alignment functions have been employed with great success.The vast majority of more complex data ana

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