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KUBÁSEK, R.; GESCHEIDTOVÁ, E.; BARTUŠEK, K.
Original Title
Wavelet Denoising of NMR Signal Using QMF Filer Bank Designed by Remez Algorithm
English Title
Type
Peer-reviewed article not indexed in WoS or Scopus
Original Abstract
The wavelet transform is an up-to-date method for digital signal processing used in many branches of technology. One of its applications is the suppression of noise in useful signal. The paper deals with suppressing noise in a signal scanned on the NMR tomograph. The method of sub-band thresholding using the wavelet transform is discussed. This method is used in double denoising filtering of an FID signal and an instantaneous frequency signal. Using a filter bank with uniform ripple, designed by the Remez algorithm, is of advantage.
English abstract
Keywords
denoising, MR NMR
Key words in English
Authors
Released
25.05.2004
ISBN
1336-1376
Periodical
Advances in Electrical and Electronic Engineering
Volume
2004
Number
3
State
Czech Republic
Pages from
13
Pages count
4
BibTex
@article{BUT42334, author="Radek {Kubásek} and Eva {Gescheidtová} and Karel {Bartušek}", title="Wavelet Denoising of NMR Signal Using QMF Filer Bank Designed by Remez Algorithm", journal="Advances in Electrical and Electronic Engineering", year="2004", volume="2004", number="3", pages="4", issn="1336-1376" }