Publication detail

Wavelet Denoising of NMR Signal Using QMF Filer Bank Designed by Remez Algorithm

KUBÁSEK, R. GESCHEIDTOVÁ, E. BARTUŠEK, K.

Original Title

Wavelet Denoising of NMR Signal Using QMF Filer Bank Designed by Remez Algorithm

Type

journal article - other

Language

English

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.

Keywords

denoising, MR NMR

Authors

KUBÁSEK, R.; GESCHEIDTOVÁ, E.; BARTUŠEK, K.

RIV year

2004

Released

25. 5. 2004

ISBN

1336-1376

Periodical

Advances in Electrical and Electronic Engineering

Year of study

2004

Number

3

State

Slovak Republic

Pages from

13

Pages to

16

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"
}