WAVELET-BASED IN-BAND DENOISING TECHNIQUE FOR CHAOTIC SEQUENCES

Autor:	William L. B. Constantine, Per G. Reinhall
Rok vydání:	2001
Předmět:	Correlation dimension Mathematical optimization Wavelet Basis (linear algebra) Discrete wavelet packet transform Applied Mathematics Modeling and Simulation Noise reduction Chaotic Engineering (miscellaneous) Algorithm Statistic Mathematics
Zdroj:	International Journal of Bifurcation and Chaos. 11:483-495
ISSN:	1793-6551 0218-1274
DOI:	10.1142/s0218127401002201
Popis:	A novel wavelet-based denoising technique (MODRA) is introduced and shown to be an effective means of denoising in-band contaminated chaotic sequences. MODRA is compared to existing WaveShrink methods and shown to be a more effective denoising technique based on a mean-squared-error statistic for simulated contaminations. For each case, an estimate of the correlation dimension D2 is calculated to quantify the results. As an integral part of MODRA, a best basis cost functional for the maximum overlap discrete wavelet packet transform using Shannon entropy is also introduced.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e5f2ac7213680aa3d72eb5fbbb783dc0 https://doi.org/10.1142/s0218127401002201 Zobrazit plný text záznamu