caa a22 4500 606206779 CHVBK 20210128101013.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s00034-015-0022-8 doi (NATIONALLICENCE)springer-10.1007/s00034-015-0022-8 Yang Zong-chang School of Information and Electronical Engineering, Hunan University of Science and Technology, 411201, Xiangtan, China aut DFT Spectrum-Sparsity-based Quasi-Periodic Signal Identification and Application [Elektronische Daten] [Zong-chang Yang] This study addresses identification of the quasi-periodic sequence based on the discrete Fourier transform spectrum-sparsity. A quasi-periodic signal displays similarities to a periodic signal but does not satisfy its strict definition. Then identification of the quasi-periodic signal is practically a requirement for many applications. The spectrum-sparse property in the Fourier domain is presented for describing the discrete-time periodic signals, and then it is extended and proposed for the quasi-periodic sequence identification. The proposed identification method is applied to real applications including periodicity detection of the sunspot activity, rainfall activity, and air temperature movement as well as the pile driver sound detection. The experimental results and analysis indicate potentiality of the proposed method that it yields satisfying results in the real applications. Springer Science+Business Media New York, 2015 DFT nationallicence Spectrum-sparsity nationallicence Quasi-periodic signal nationallicence Identification nationallicence Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/11(2015-11-01), 3543-3557 0278-081X 34:11<3543 2015 34 34 https://doi.org/10.1007/s00034-015-0022-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-015-0022-8 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Yang Zong-chang School of Information and Electronical Engineering, Hunan University of Science and Technology, 411201, Xiangtan, China aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/11(2015-11-01), 3543-3557 0278-081X 34:11<3543 2015 34 34