Detail publikace

Statistical Approach to Wavelet Spectrum Thresholding

Originální název

Statistical Approach to Wavelet Spectrum Thresholding

Anglický název

Statistical Approach to Wavelet Spectrum Thresholding

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{BUT5319,
  author="Pavel {Rajmic}",
  title="Statistical Approach to Wavelet Spectrum Thresholding",
  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="VUT Brno",
  booktitle="Proceedings of the International Conference Telecommunications and Signal Processing 2002",
  chapter="5319",
  institution="VUT Brno",
  year="2002",
  month="september",
  pages="187",
  publisher="VUT Brno",
  type="conference paper"
}