Detail publikace

Denoising of NMR signal using wavelet subband thresholding

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

Originální název

Denoising of NMR signal using wavelet subband thresholding

Anglický název

Denoising of NMR signal using wavelet subband thresholding

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

BibTex 


@inproceedings{BUT11405,
  author="Radek {Kubásek} and Miloslav {Steinbauer} and Eva {Gescheidtová} and Karel {Bartušek}",
  title="Denoising of NMR signal using wavelet subband thresholding",
  annote="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.",
  booktitle="Electronic Devices and Systems Conference 2004",
  chapter="11405",
  year="2004",
  month="september",
  pages="132",
  type="conference paper"
}