Open AccessDetection of superimposed periodic signals using wavelets
Author(s) -
Otazu X.,
Ribó M.,
Peracaula M.,
Paredes J. M.,
Núñez J.
Publication year - 2002
Publication title -
monthly notices of the royal astronomical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.058
H-Index - 383
eISSN - 1365-2966
pISSN - 0035-8711
DOI - 10.1046/j.1365-8711.2002.05396.x
Subject(s) - wavelet , physics , signal (programming language) , amplitude , context (archaeology) , noise (video) , periodic function , set (abstract data type) , algorithm , pattern recognition (psychology) , signal to noise ratio (imaging) , data set , artificial intelligence , optics , computer science , paleontology , image (mathematics) , programming language , quantum mechanics , biology
In this paper we present a wavelet‐based algorithm that is able to detect superimposed periodic signals in data with low signal‐to‐noise ratio. In this context, the results given by classical period determination methods depend strongly on the intrinsic characteristics of each periodic signal, like amplitude or profile. It is then difficult to detect the different periods present in the data set. The results given by the wavelet‐based method for period determination we present here are independent of the characteristics of the signals.