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A COMPARATIVE STUDY OF THE SHORTENING OPERATORS USED IN VARIOUS DATA PROCESSING TECHNIQUES IN GRAVITY INTERPRETATION *
Author(s) -
AGARWAL B. N. P.,
SINGH Jagdeo
Publication year - 1977
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1111/j.1365-2478.1977.tb01149.x
Subject(s) - operator (biology) , truncation (statistics) , mathematics , filter (signal processing) , continuation , algorithm , interpretation (philosophy) , truncation error , fourier transform , discrete fourier transform (general) , computer science , mathematical analysis , fourier analysis , statistics , fractional fourier transform , chemistry , biochemistry , repressor , transcription factor , computer vision , gene , programming language
A bstract Discrete Fourier transform analysis provides an infinite number of weight coefficients for filters like upward and downward continuation. For practical applicability, the lengths of such filters have been reduced to a manageable number by various shortening operators, viz. those by Peters, Martin, Mufti, v. Hann, Hamming, and the truncation operator. A comparative study for choosing an operator which approximates the theoretical filter response best has indicated that Martin's shortening operator and the truncation operator are best, respectively, for normalized and non‐normalized sets of weight coefficients.