The relation of low frequency restoration methods to the Gerchberg-Papoulis algorithm
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 166-172 |
| Journal / Publication | Magnetic Resonance in Medicine |
| Volume | 16 |
| Issue number | 1 |
| Publication status | Published - 1990 |
| Externally published | Yes |
Link(s)
Abstract
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.
Citation Format(s)
The relation of low frequency restoration methods to the Gerchberg-Papoulis algorithm. / Yan, H.; Mao, J.
In: Magnetic Resonance in Medicine, Vol. 16, No. 1, 1990, p. 166-172.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
