Theme-Logo
  • Login
  • Home
  • Course
  • Publication
  • Theses
  • Reports
  • Published books
  • Workshops / Conferences
  • Supervised PhD
  • Supervised MSc
  • Supervised projects
  • Education
  • Language skills
  • Positions
  • Memberships and awards
  • Committees
  • Experience
  • Scientific activites
  • In links
  • Outgoinglinks
  • News
  • Gallery
publication name Tolba MF, AbdelAty AM, Said LA, Elwakil AS, Azar AT, Madian AH, Radwan AG, Ouannas A (2017). FPGA Realization of Caputo and Grünwald-Letnikov Operators. The 6th International Conference on Modern Circuits and Systems Technologies (MOCAST), 4-6 May 2017 Thessaloniki Greece
Authors
year 2019
keywords
journal The 6th International Conference on Modern Circuits and Systems Technologies (MOCAST), 4-6 May 2017 Thessaloniki Greece
volume Not Available
issue Not Available
pages Not Available
publisher IEEE
Local/International International
Paper Link https://ieeexplore.ieee.org/document/7937659
Full paper download
Supplementary materials Not Available
Abstract

This paper proposes a hardware platform implementation on FPGA for two fractional-order derivative operators. The Grünwald-Letnikov and Caputo definitions are realized for different fractional orders. The realization is based on non-uniform segmentation algorithm with a variable lookup table. A generic implementation for Grünwald-Letnikov is proposed and a 32 bit Fixed Point Booth multiplier radix-4 is used for Caputo implementation. Carry look-ahead adder, multi-operand adder and booth multiplier are used to improve the performance and other techniques for area and delay minimization have been employed. A comparison between the two presented architectures is introduced. The proposed designs have been simulated using Xilinx ISE and realized on FPGA Xilinx virtex-5 XC5VLX50T. The total area of 2515 look up tables is achieved for Caputo implementation, and maximum frequency of 54.11 MHz and 1498 slices are achieved for Grünwald-Letnikov architecture.

Benha University © 2023 Designed and developed by portal team - Benha University