Autor:	Ivan Garvanov, Nikolay Geshev, Magdalena Garvanova, Ruska Iyinbor
Rok vydání:	2019
Předmět:	Signal processing Pulsar Computer science Real signal Astrophysics::High Energy Astrophysical Phenomena Noise reduction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Inverse Wavelet transform Data_CODINGANDINFORMATIONTHEORY Signal Algorithm
Zdroj:	2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA).
Popis:	This paper investigates the algorithm of denoising of pulsar signals using wavelet transform. The signal processing includes three major stages: wavelet transform, threshold processing, and inverse wavelet transform. The proposed algorithm is tested using the real signal from pulsar B0329+54.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4b8b985c8201d6cad10ac6b342201af2 https://doi.org/10.1109/elma.2019.8771495 Zobrazit plný text záznamu