A Kalman filter approach for Spectral data pre-processing

Autor:	S. S. Ganesh Ram
Rok vydání:	2017
Předmět:	Extended Kalman filter Filter design Computer science Kernel adaptive filter Fast Kalman filter Ensemble Kalman filter Unscented transform Alpha beta filter Algorithm Invariant extended Kalman filter
Zdroj:	2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT).
DOI:	10.1109/icecct.2017.8117921
Popis:	In pre-processing of spectral data, advancements are yet to be made to discover the most efficient filter and establish parameters which define efficiency. In this paper, a unique method of using the Kalman filter for filtering the spectral data is proposed. Not only is it found that the performance of the Kalman filter is better but also observed that the filter provides better noise suppression than standard filters.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ec915bfc53e6b10d23d6735f1563f4c2 https://doi.org/10.1109/icecct.2017.8117921 Zobrazit plný text záznamu