Approximating the Time-Frequency Representation of Biosignals with Chirplets. (2010)

• Record Type: Journal Article
• Authors: Talakoub Talakoub, Omid Omid; Cui Cui, Jie Jie; Wong Wong, Willy Willy
• Other Names: Shah Shah Syed Ismail Syed Ismail Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2010(2010)
• Publication Date: 2010
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2010/857685
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : A new member of the Cohen's class time-frequency distribution is proposed. The kernel function is determined adaptively based on the signal of interest. The kernel preserves the chirp-like components while removing interference terms generated due to the quadratic characteristic of Wigner-Ville distribution. This approach is based on the chirplet as an underlying model of biomedical signals. We illustrate the method using a number of common biological signals including echo-location and evoked potential signals. Finally, the results are compared with other techniques including chirplet decomposition via matching pursuit and the Choi-Williams distribution function.