Publication detail

Evaluation of Background Noise for Significance Level Identification

POMĚNKOVÁ, J. KLEJMOVÁ, E. MALACH, T.

Original Title

Evaluation of Background Noise for Significance Level Identification

Type

conference paper

Language

English

Original Abstract

The paper deals with identification of significance level for testing the time-frequency transform of the data. The usual procedure of time-frequency significance testing is based on the knowledge of background spectrum. Very often we have expectation of the background noise character (Gaussian noise, Red noise, etc.). Our paper deals with the case when character of the noise is unknown and may not be Gaussian despite our assumptions. Thus, we propose how to identify own critical values for testing time-frequency transform significance with respect to the data character. We compare our knowledge to critical quantile of chi-square distribution.

Keywords

Background noise, Significance testing, Timefrequency analysis, Significance testing

Authors

POMĚNKOVÁ, J.; KLEJMOVÁ, E.; MALACH, T.

Released

24. 5. 2017

Publisher

IEEE

Location

Poznaň

ISBN

978-1-5090-6344-4

Book

Proceedings of the 24th International Conference on Systems, Signals and Image Processing

Pages from

1

Pages to

5

Pages count

5

URL

https://ieeexplore.ieee.org/document/7965614

BibTex

@inproceedings{BUT134601,
  author="Jitka {Dluhá} and Eva {Klejmová} and Tobiáš {Malach}",
  title="Evaluation of Background Noise for Significance
Level Identification",
  booktitle="Proceedings of the 24th International Conference on Systems, Signals and Image Processing",
  year="2017",
  pages="1--5",
  publisher="IEEE",
  address="Poznaň",
  doi="10.1109/IWSSIP.2017.7965614",
  isbn="978-1-5090-6344-4",
  url="https://ieeexplore.ieee.org/document/7965614"
}