Optimizing Digital Signal Processing with Half-Precision Floating-Point Arithmetic

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Main Author: Dr. Elianore Quasar and Dr. Kaia Rykhard
Format: Recurso digital
Published: Zenodo 2019
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author Dr. Elianore Quasar and Dr. Kaia Rykhard
author_facet Dr. Elianore Quasar and Dr. Kaia Rykhard
contents <p>—For dealing with digital signals in real time, parameters like, speed of operation, hardware requirement, power and area, must take into consideration Implementation of FFT, with less number of logic gates which helps to reduce area and power required for the design. With this motto multipliers are replaced with pass logic. To represent twiddle factors, standard IEEE floating point format is used. By considering The end user application, twiddle factors are represented in half precision format. So that it helps to increase the speed of application. FFT is completed with complex floating point multiplier, complex floating point adder/subtractor. All design is implemented in Verilog HDL in Quartus II web edition for Cyclone 4E FPGA family. The Synthesized RTL description is tested /simulated in ModelSim simulator</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19304546
institution Zenodo
language
publishDate 2019
publisher Zenodo
record_format zenodo
spellingShingle Optimizing Digital Signal Processing with Half-Precision Floating-Point Arithmetic
Dr. Elianore Quasar and Dr. Kaia Rykhard
Half precision IEEE754 floating point
Multiplier
adder
subtractor
QuartusII
Verilog
hardware descriptive language (HDL).
<p>—For dealing with digital signals in real time, parameters like, speed of operation, hardware requirement, power and area, must take into consideration Implementation of FFT, with less number of logic gates which helps to reduce area and power required for the design. With this motto multipliers are replaced with pass logic. To represent twiddle factors, standard IEEE floating point format is used. By considering The end user application, twiddle factors are represented in half precision format. So that it helps to increase the speed of application. FFT is completed with complex floating point multiplier, complex floating point adder/subtractor. All design is implemented in Verilog HDL in Quartus II web edition for Cyclone 4E FPGA family. The Synthesized RTL description is tested /simulated in ModelSim simulator</p>
title Optimizing Digital Signal Processing with Half-Precision Floating-Point Arithmetic
topic Half precision IEEE754 floating point
Multiplier
adder
subtractor
QuartusII
Verilog
hardware descriptive language (HDL).
url https://doi.org/10.5281/zenodo.19304546