Published September 25, 2023 | Version v1
Journal article Open

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

  • 1. Dr. Elianore Quasar, Department of Electrical and Computer Engineering, University of California, Berkeley; Dr. Kaia Rykhard, Department of Computer Science, Carnegie Mellon University

Description

—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

Files

JCE-v12-I09-006.pdf

Files (593.9 kB)

Name Size Download all
md5:78e2ea38f8766b7809dbe516158d4e4b
593.9 kB Preview Download