Detail publikace

Wavelet Spectrum Thresholding Rules

Originální název

Wavelet Spectrum Thresholding Rules

Anglický název

Wavelet Spectrum Thresholding Rules

Jazyk

en

Originální abstrakt

The wavelet-type signal analysis has recently been a much used discipline, whose range of applications spreads steadily. Two of its most important applications are signal denoising and data compression. In these areas, so called thresholding is an important technique of signal processing. Selected methods of thresholding and their statistical properties are introduced in this paper.

Anglický abstrakt

The wavelet-type signal analysis has recently been a much used discipline, whose range of applications spreads steadily. Two of its most important applications are signal denoising and data compression. In these areas, so called thresholding is an important technique of signal processing. Selected methods of thresholding and their statistical properties are introduced in this paper.

Dokumenty

BibTex


@inproceedings{BUT5846,
  author="Pavel {Rajmic}",
  title="Wavelet Spectrum Thresholding Rules",
  annote="The wavelet-type signal analysis has recently
been a much used discipline, whose range of applications spreads steadily. Two of its most important applications are signal denoising and data compression. In these areas, so called thresholding is an important technique of signal processing. Selected methods of thresholding and their statistical properties are introduced in this paper.",
  address="Nottingham University Press",
  booktitle="Proceedings of the Fourth International Conference on Recent Advances in Soft Computing",
  chapter="5846",
  institution="Nottingham University Press",
  year="2002",
  month="december",
  pages="477",
  publisher="Nottingham University Press",
  type="conference paper"
}