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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
URL
https://ieeexplore.ieee.org/document/7965614
BibTex
@inproceedings{BUT134601, author="Jitka {Poměnková} 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" }