• Medientyp: E-Artikel
  • Titel: Estimation of Power Spectral Density by Filters
  • Beteiligte: Gauss, E. J.
  • Erschienen: Association for Computing Machinery (ACM), 1964
  • Erschienen in: Journal of the ACM, 11 (1964) 1, Seite 98-103
  • Sprache: Englisch
  • DOI: 10.1145/321203.321215
  • ISSN: 1557-735X; 0004-5411
  • Schlagwörter: Artificial Intelligence ; Hardware and Architecture ; Information Systems ; Control and Systems Engineering ; Software
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  • Beschreibung: <jats:p>An algorithm is presented which differs from previous methods by being more adapted for searching over wide frequency ranges and which permits the estimation of spectral density as a function of time as well as of frequency. The algorithm may offer economy, especially on smaller computers. The algorithm is based on the analogy between a broadly tuned filter and a truncated cross correlation.</jats:p>
  • Zugangsstatus: Freier Zugang