Time-frequency representations using a radial Butterworth kernel

Author

Wu, Dongsheng ; Morris, Joel M.

Author_Institution

Dept. of Electr. Eng., Maryland Univ., Baltimore, MD, USA

fYear

1994

fDate

25-28 Oct 1994

Firstpage

60

Lastpage

63

Abstract

A new radial Butterworth kernel (RBK) with two adjustable parameters for the Cohen´s (1966) class of distributions (CCD) is presented in the ambiguity function domain. It is particularly suitable for signals with a high degree of of nonstationarity and, by adjusting these parameters, the resulting time-frequency distribution can effectively suppress the crossterms while retaining the autoterms. Numerical experiments using the RBK are compared with other famous distributions. Finally, the RBK is generalized such that a wide variety of shapes can be obtained in the ambiguity function domain

Keywords

parameter estimation; signal representation; statistical analysis; time-frequency analysis; Cohen´s class of distributions; adjustable parameters; ambiguity function domain; autoterms; crossterms suppression; nonstationarity; numerical experiments; radial Butterworth kernel; time-frequency distribution; time-frequency representations; Biomedical signal processing; Charge coupled devices; Kernel; Laboratories; Multiple signal classification; Music; Shape; Signal analysis; Speech; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on

Conference_Location

Philadelphia, PA

Print_ISBN

0-7803-2127-8

Type

conf

DOI

10.1109/TFSA.1994.467364

Filename

467364