Detail publikace

Statistical analysis of wavelet spectrum thresholding rules in order to suppress noise in signal

RAJMIC, P.

Originální název

Statistical analysis of wavelet spectrum thresholding rules in order to suppress noise in signal

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

One of the most important applications of the wavelet transform is denoising (suppresing noise in signals). The principle of this technique is described in the paper. Statistical properties of so-called thresholding rules used in denoising in the presence of gaussian (normally distributed) noise are also introduced and compared.

Klíčová slova v angličtině

signal denoising, statistical thresholding, wavelets

Autoři

RAJMIC, P.

Rok RIV

2004

Vydáno

1. 1. 2004

Nakladatel

Masarykova univerzita v Brně

Místo

Brno

ISBN

80-210-3564-1

Kniha

Proceedings of the summer school DATASTAT 03, Folia Fac.Sci.Nat.Univ.Masaryk.Brunensis, Mathematica 15

Strany od

1

Strany do

16

Strany počet

16

BibTex

@inproceedings{BUT8857,
  author="Pavel {Rajmic}",
  title="Statistical analysis of wavelet spectrum thresholding rules in order to suppress noise in signal",
  booktitle="Proceedings of the summer school DATASTAT 03, Folia Fac.Sci.Nat.Univ.Masaryk.Brunensis, Mathematica 15",
  year="2004",
  pages="16",
  publisher="Masarykova univerzita v Brně",
  address="Brno",
  isbn="80-210-3564-1"
}