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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Andriulli, Francesco
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Publications (3/3 displayed)
- 2020A Regularized Electric Flux Volume Integral Equation for Brain Imagingcitations
- 2017A Scaling-Less Newton-Raphson Pipelined Implementation for a Fixed-Point Reciprocal Operatorcitations
- 2017A scaling-less Newton-Raphson pipelined implementation for a fixed-point inverse square root operatorcitations
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article
A Scaling-Less Newton-Raphson Pipelined Implementation for a Fixed-Point Reciprocal Operator
Abstract
The reciprocal is a widespread operation in digital signal processing architectures. A usual method consists in using the Newton-Raphson algorithm or its derivatives, either in floating or in fixed-point formats. With the former format, the standardized format of the mantissa makes the implementation easier, but for the fixed-point format there are many possibilities. This forces a design with scaling of the input in order to respect a predetermined work range. Having the input in a known range makes it possible to compute a first approximation with coefficients stored in memory blocks. With this method, it is hard to propose a "ready to use" IP for all the fixed-point formats. In this letter, a novel architecture, which does not require scaling, is proposed. This design is totally pipelined, ROM-less and can be directly used in any architecture. The implementation was optimized to reach a maximum clock frequency of 740 MHz on a Virtex-7 Field-Programmable Gate Array (FPGA).