Publication result detail

Denoising of NMR signal using wavelet subband thresholding

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

Original Title

Denoising of NMR signal using wavelet subband thresholding

English Title

Denoising of NMR signal using wavelet subband thresholding

Type

Paper in proceedings (conference paper)

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

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

Key words in English

denoising, MR NMR

Authors

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

Released

09.09.2004

Location

Brno

ISBN

80-214-2701-9

Book

Electronic Devices and Systems Conference 2004

Pages from

132

Pages count

5

BibTex

@inproceedings{BUT11405,
  author="Radek {Kubásek} and Miloslav {Steinbauer} and Eva {Gescheidtová} and Karel {Bartušek}",
  title="Denoising of NMR signal using wavelet subband thresholding",
  booktitle="Electronic Devices and Systems Conference 2004",
  year="2004",
  pages="5",
  address="Brno",
  isbn="80-214-2701-9"
}