Detail publikace

Wavelet denoising of NMR signal

Originální název

Wavelet denoising of NMR signal

Anglický název

Wavelet denoising of NMR signal

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.

BibTex


@inproceedings{BUT11396,
  author="Radek {Kubásek} and Eva {Gescheidtová} and Karel {Bartušek}",
  title="Wavelet denoising of NMR signal",
  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="Applied Electronics 2004",
  chapter="11396",
  year="2004",
  month="september",
  pages="127",
  type="conference paper"
}