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- W2613444906 abstract "Efficient signal processing takes a key role in application-specific circuit design. For instance, future mobile communication standards, e.g., high-performance industrial mobile communication, require high data rates, low latency and/or high energy-efficiency. Hence, sophisticated algorithms and computing schemes must be explored to satisfy these challenging constraints. In this paper we leverage the paradigm of approximate computing to enable hardware-efficient QR-decomposition for channel pre-coding. For an efficient computation of the Givens-Rotation, bivariate, non-linear numeric functions are taken into account. An effective design method is introduced leading to highly adapted (special-purpose) functions. For evaluation, our work is tested with different configurations in a Tomlinson-Harashima pre-coding downlink environment. In addition, a corresponding HDL implementation is set up and logic and physical CMOS synthesis is performed. The comparison to actual references prove our work to be a powerful approach for future mobile communication systems." @default.
- W2613444906 created "2017-05-19" @default.
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- W2613444906 date "2017-03-01" @default.
- W2613444906 modified "2023-09-28" @default.
- W2613444906 title "Exploiting special-purpose function approximation for hardware-efficient QR-decomposition" @default.
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- W2613444906 doi "https://doi.org/10.23919/date.2017.7927208" @default.
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