Publication detail

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

RAJMIC, P.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Key words in English

signal denoising, statistical thresholding, wavelets

Authors

RAJMIC, P.

RIV year

2004

Released

1. 1. 2004

Publisher

Masarykova univerzita v Brně

Location

Brno

ISBN

80-210-3564-1

Book

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

Pages from

1

Pages to

16

Pages count

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"
}