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IDEAL PERFORMANCE CRITERIA FOR DECONVOLUTION OPERATORS *
Author(s) -
DIMRI VIJAY P.,
SRIVASTAVA KIRTI
Publication year - 1987
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.1365-2478.1987.tb00834.x
Subject(s) - deconvolution , ideal (ethics) , energy (signal processing) , trace (psycholinguistics) , relation (database) , operator (biology) , algorithm , computer science , filter (signal processing) , mathematics , statistics , data mining , chemistry , philosophy , linguistics , biochemistry , epistemology , repressor , transcription factor , gene , computer vision
A technique to evaluate an ideal performance of a deconvolution operator has been obtained by dividing the input trace into a number of sections. The error energy is seen to decrease with an increase in the number of sections. Numerical examples show that the error energy becomes zero following a relation between the number of sections, the length of input and the length of the filter.