Optimal Spectral Resolution in Systems Identification

Autor:	Valentin Arkov, Timofei Breikin, G.G. Kulikov
Rok vydání:	2000
Předmět:	Frequency response Identification (information) Similarity (network science) Computer science business.industry Speech recognition System identification Wavelet transform Pattern recognition Spectral analysis Artificial intelligence Spectral resolution business
Zdroj:	IFAC Proceedings Volumes. 33:23-28
ISSN:	1474-6670
DOI:	10.1016/s1474-6670(17)39597-6
Popis:	An optimisation approach to dynamic model identification is considered using frequency response techniques. Identification accuracy is provided via optimal spectral resolution using a priori information. Conventional spectral analysis is compared with a wavelet transform, highlighting similarity and difference in the choice of spectral resolution.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0eb6d8dbe242023d1f0d872355554147 https://doi.org/10.1016/s1474-6670(17)39597-6 Zobrazit plný text záznamu