International Journal of Advanced Science and Technology, Volume (33), No (1), Year (2011-8) , Pages (13-22)
Title : ( Kernel Machine Based Fourier Series )
Authors: Masoomeh Sadat Abasiyan , Hadi Sadoghi Yazdi , Abedin Vahedian Mazloum ,Access to full-text not allowed by authors
Abstract
In this paper, we present a new form of Fourier series named Kernel Fourier series (KFS) which produces time-frequency coefficients similar to wavelet. Both continuous and discrete forms of KFS are presented together with inverse KFS formulated to perform signal approximation. As KFS coefficients are dependent upon selection of kernel function, it can be used in different applications. Results from KFS test on feature extraction, signal analysis and signal estimation are presented and discussed.