Fast Fourier Tranformation Algorithms: Experiments with Microcomputers.

Abstract

This document describes experiments intended to exploit the potential of modern microcomputers for harmonic analysis. The findings are a contribution to the discussion of how far modern microcomputers can complement, compete with, and, in certain circumstances, substitute for the mainframe. Harmonic analysis is fundamental to signal processing which, in turn, has many applications both in civilian and military contexts. The publication of so-called Fast Fourier Transform algorithms revolutionised digital analysis: results which had previously required many hours of computation could be obtained in minutes. Microcomputers can not yet compete with mainframes in terms of speed but they do have the important advantages of portability and lower cost experience shows that equipment exists which combines the advantages of speed and an accuracy adequate for contaminated data, with portability, availability, and versatility that are characteristic of the microcomputer. Attention is confined to the Fast Fourier Transform about which so much has been written.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1986
Accession Number
ADA176838

Entities

People

  • Brian W. Conolly
  • Ole F. Hastrup

Organizations

  • SACLANT ASW Research Centre

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Compilers
  • Computers
  • Data Processing
  • Data Science
  • Discrete Fourier Transforms
  • Fast Fourier Transforms
  • Fourier Transformation
  • Frequency Domain
  • Harmonic Analysis
  • Information Science
  • Mainframe Computers
  • Monte Carlo Method
  • Personal Computers
  • Signal Processing
  • Time Domain

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Image Processing and Computer Vision.
  • Systems Analysis and Design