DocumentCode
112787
Title
Intrinsic Integer-Periodic Functions for Discrete Periodicity Detection
Author
Soo-Chang Pei ; Keng-Shih Lu
Author_Institution
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume
22
Issue
8
fYear
2015
fDate
Aug. 2015
Firstpage
1108
Lastpage
1112
Abstract
In this letter we focus on discrete integer-periodic signals, whose periodicity are different from the periodicity of continuous periodic signals in many aspects. We introduce a class of discrete periodic signals called intrinsic integer-periodic function (IIPF). An IIPF contains only a single period in terms of downsampling, which leads to some interesting properties for analyzing periodic components from a discrete signal. We show that one can use Ramanujan sum to decompose discrete periodic signals into IIPF components. Finally, we also propose an integer periodic spectrum rather than frequency spectrum. Our results show that the proposed integer periodic spectrum outperforms the conventional Ramanujan Fourier transform.
Keywords
signal sampling; IIPF; Ramanujan sum; discrete integer-periodic signals; discrete periodicity detection; integer periodic spectrum; intrinsic integer-periodic functions; Discrete Fourier transforms; Educational institutions; Electronic mail; Estimation; Finite impulse response filters; Integer-periodic signal; Ramanujan sum; periodicity mining; signal decomposition;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2014.2387430
Filename
7001178
Link To Document