Title : ( Kernel Machine Based Fourier Series )
Authors: Masoomeh Sadat Abasiyan , Hadi Sadoghi Yazdi , Abedin Vahedian Mazloum ,
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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.
Keywords
, Kernel machine, Feature extraction, Fourier series, Signal
@article{paperid:1023194,
author = {Abasiyan, Masoomeh Sadat and Sadoghi Yazdi, Hadi and Vahedian Mazloum, Abedin},
title = {Kernel Machine Based Fourier Series},
journal = {International Journal of Advanced Science and Technology},
year = {2011},
volume = {33},
number = {1},
month = {August},
issn = {2005-4238},
pages = {13--22},
numpages = {9},
keywords = {Kernel machine; Feature extraction; Fourier series; Signal},
}
%0 Journal Article
%T Kernel Machine Based Fourier Series
%A Abasiyan, Masoomeh Sadat
%A Sadoghi Yazdi, Hadi
%A Vahedian Mazloum, Abedin
%J International Journal of Advanced Science and Technology
%@ 2005-4238
%D 2011
