Low complex Hardware Architecture Design Methodology for Cubic Spline Interpolation Technique for Assistive Technologies

Ganesh Cheduluri, Swati Bhardwaj, Ganesh R. Naik, Vidhumouli Hansigida, Appa Rao Nali, Amit Acharyya

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The Hardware implementation of the Empirical mode decomposition algorithm has attracted attention in recent years due to its data-driven nature, adaptability, and ability to process non-stationary and non-linear signal analysis. Due to its high computation requirements for the sifting process, it is difficult to achieve low hardware complexity. The proposed design introduces an efficient VLSI architecture for the Cubic spline interpolation technique based on the Co-Ordinate Rotation Digital Computer(CORDIC) for generating envelops in the EMD algorithm. The design was implemented on Xilinx ZynqU ltraScale+ZCU 102 Evaluation Board and synthesized using Vivado 2018.1 Design Suite with the fixed-point data format and generated envelops using the sifting procedure.

Original languageEnglish
Title of host publication20th IEEE International Interregional NEWCAS Conference, NEWCAS 2022 - Proceedings
Place of PublicationUSA
PublisherInstitute of Electrical and Electronics Engineers
Pages70-74
Number of pages5
ISBN (Electronic)9781665401050
DOIs
Publication statusPublished - 2022
Event20th IEEE International Interregional NEWCAS Conference, NEWCAS 2022 - Quebec City, Canada
Duration: 19 Jun 202222 Jun 2022

Publication series

Name20th IEEE International Interregional NEWCAS Conference, NEWCAS 2022 - Proceedings

Conference

Conference20th IEEE International Interregional NEWCAS Conference, NEWCAS 2022
Country/TerritoryCanada
CityQuebec City
Period19/06/2222/06/22

Keywords

  • Co-ordinate Rotation Digital Computer(CORDIC)
  • Cubic Spline Interpolation
  • Empirical Mode Decomposition
  • Intrinsic Mode Function
  • Surface EMG signal
  • Tridiagonal Matrix Algorithm

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