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The relation of low frequency restoration methods to the gerchberg‐papoulis algorithm
Author(s) -
Yan Hong,
Mao Jintong
Publication year - 1990
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.1910160116
Subject(s) - algorithm , quantization (signal processing) , computer science , iterative method , relation (database) , database
In magnetic resonance imaging, low frequency components can be allowed to saturate the analog to digital converter to reduce the quantization noise. These components can be estimated using least squares error estimation based low frequency restoration methods or the iterative Gerchberg‐Papoulis algorithm. In this paper, we show the relationship between the closed form estimation methods and the iterative algorithm, propose a method for improving the speed of iteration, and discuss the advantages and disadvantages of two types Of methods. © 1990 Academic Press, Inc.