Self-adaptive Decomposition Level De-noising Method Based on Wavelet Transform

Autor:	Hongcai Li, Jianzhao Huang, Gui Tian, Jian Xie, Xiaobo Chen
Rok vydání:	2012
Předmět:	Wavelet Noise (signal processing) Stationary wavelet transform Speech recognition Wavelet transform Cascade algorithm White noise Algorithm Mathematics Wavelet packet decomposition Statistical hypothesis testing
Zdroj:	TELKOMNIKA Indonesian Journal of Electrical Engineering. 10
ISSN:	2087-278X 2302-4046
Popis:	In the threshold de-noising method based on wavelet transform, not only the threshold and threshold function, but also the decomposition level is an important factor in practical application. Signals under different noise levels correspond with different optimal decomposition levels. A method to determine the optimal decomposition level based on the white noise verification of wavelet detail coefficients is proposed. The effectiveness of this method is validated by the pressure signal de-noising experiment. Aiming to the need of sample points in hypothesis test, the performance of five hypothesis test methods are simulated and analyzed, and the application rules are summarized.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::80a06a9e2adc4a2fcd5abca11db7fb01 https://doi.org/10.11591/telkomnika.v10i5.1366 Zobrazit plný text záznamu