DATA CHARACTERIZATION AND COMPRESSION

The extraction of information from measured or computed data is all-pervasive; to gain the most value from extracted information, it must often be transformed from one type of data into another, a process that can only preserve or lose information. An information-transformation process based upon Prony's method was found to be increasingly useful for application to electromagnetic-type problems in particular and a growing variety of physical problems in general. This procedure allows the coefficients and exponents (or parameters) of an exponential series to be derived from a sequence of its sampled values. Two basic issues are associated with Prony processing: determination of the status of the input data and application of the procedure as effectively as possible to maximize the information content of the output. The possible uses of the Prony method as an information on-transportation process are discussed; the insight gained from this viewpoint concerning the information content of data is emphasized. Waveform and spectrum characterization, data compression, and inversion of pattern data are considered briefly as applications. (ERA citation 03:011178)

  • Corporate Authors:

    University of California, Livermore

    Lawrence Livermore National Laboratory
    Livermore, CA  USA  94550

    Energy Research and Development Administration

    20 Massachusetts Avenue, NW
    Washington, DC  USA  20590
  • Authors:
    • Miller, E K
  • Publication Date: 1977-7-6

Media Info

  • Features: Figures; Tables;
  • Pagination: 24 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00175412
  • Record Type: Publication
  • Source Agency: National Technical Information Service
  • Contract Numbers: W-7405-ENG-48
  • Files: TRIS
  • Created Date: Jul 29 2000 12:00AM