Detail publikace

Statistical Properties of Wavelet Spectrum Thresholding Rules

Originální název

Statistical Properties of Wavelet Spectrum Thresholding Rules

Anglický název

Statistical Properties of 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. One of its most important applications is signal denoising. In this area, 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. One of its most important applications is signal denoising. In this area, 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{BUT8853,
  author="Pavel {Rajmic}",
  title="Statistical Properties of Wavelet Spectrum Thresholding Rules",
  annote="The wavelet-type signal analysis has recently
been a much used discipline, whose range of applications spreads steadily. One of its most important applications is signal denoising. In this area, so-called thresholding is an important technique of signal processing. Selected methods of thresholding and their statistical properties are introduced in this paper.",
  address="Technische Universitat Ilmenau",
  booktitle="Proceedings of 48. Internationales Wissenschaftliches Kolloquium",
  chapter="8853",
  institution="Technische Universitat Ilmenau",
  year="2003",
  month="september",
  pages="1",
  publisher="Technische Universitat Ilmenau",
  type="conference paper"
}