University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Detection of periodic signals using a new adaptive line enhancer based on singular spectrum analysis

Sanei, S, Lee, TKM and Lee, TKM (2011) Detection of periodic signals using a new adaptive line enhancer based on singular spectrum analysis In: ICICS 2011, 2011-12-13 - 2011-12-16, Singapore.

Detection of Periodic Signals.pdf
Available under License : See the attached licence file.

Download (205kB)
Text (licence)

Download (33kB)


A new ALE-based on singular spectrum analysis (SSA) is proposed here. In this approach in the reconstruction stage of SSA the eigentriples are adaptively selected using the delayed version of the data. Unlike for the conventional ALE where order statistics are taken into account, here full eigen-spectrum of the embedding matrix is exploited. Consequently, the system works for non-Gaussian noise and wideband periodic signals. The performance of the system is demonstrated for synthetic as well as real signals and compared with those of traditional ALE. © 2011 IEEE.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
Sanei, S
Lee, TKM
Lee, TKM
Date : 2011
DOI : 10.1109/ICICS.2011.6174218
Contributors :
Additional Information : © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 14 Jan 2013 10:50
Last Modified : 31 Oct 2017 14:55

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800