Comparison of signal processing methods for calculating point-by-point discrete fourier transforms

Barna Csuka, I. Kollár, Zsolt Kolĺar, Marton Kovacs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper presents and compares signal processing architectures for calculating point-by-point discrete signal spectra. Besides the well known Discrete Fourier Transform (DFT) and its well known fast implementation, the FFT, the Sliding Discrete Fourier Transform (S-DFT) and the less known Recursive Discrete Fourier Transform (R-DFT) are discussed. These algorithms are compared by calculation complexity for FPGA implementation. Furthermore, their sensitivity to quantization effects are also examined, based on simulations.

Original languageEnglish
Title of host publication2016 26th International Conference Radioelektronika, RADIOELEKTRONIKA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages217-221
Number of pages5
ISBN (Electronic)9781509016747
DOIs
Publication statusPublished - May 23 2016
Event26th International Conference Radioelektronika, RADIOELEKTRONIKA 2016 - Kosice, Slovakia
Duration: Apr 19 2016Apr 20 2016

Other

Other26th International Conference Radioelektronika, RADIOELEKTRONIKA 2016
CountrySlovakia
CityKosice
Period4/19/164/20/16

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Keywords

  • Continuous discrete spectrum estimation
  • DFT
  • FFT
  • Fixed-point
  • Quantization
  • R-DFT
  • Roundoff

ASJC Scopus subject areas

  • Instrumentation
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Csuka, B., Kollár, I., Kolĺar, Z., & Kovacs, M. (2016). Comparison of signal processing methods for calculating point-by-point discrete fourier transforms. In 2016 26th International Conference Radioelektronika, RADIOELEKTRONIKA 2016 (pp. 217-221). [7477394] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RADIOELEK.2016.7477394