Multicomponent IF estimation: a statistical comparison in the quadratic class of time-frequency distributions

Author

Hussain, Zuhir M. ; Boashash, Boualem

Author_Institution

Signal Process. Res. Centre, Queensland Univ. of Technol., Brisbane, Qld., Australia

Volume

2

fYear

2001

fDate

6-9 May 2001

Firstpage

109

Abstract

An adaptive approach to the estimation of the instantaneous frequency (IF) of multicomponent FM signals in additive Gaussian noise has been recently analyzed using a time-only kernel. In this paper we justify applying this approach to other two members of the quadratic class of time-frequency distributions: the spectrogram and Choi-Williams distribution. We also compare the statistical performance of these distributions using the bias, the variance, and the optimum lag window lengths of their IF estimators

Keywords

Gaussian noise; adaptive signal detection; time-frequency analysis; Choi-Williams distribution; adaptive approach; additive Gaussian noise; bias; instantaneous frequency; multicomponent FM signals; multicomponent IF estimation; optimum lag window lengths; quadratic class; spectrogram; statistical comparison; time-frequency distributions; variance; Additive noise; Frequency estimation; Gaussian noise; Kernel; Passband; Programmable control; Signal analysis; Signal processing; Spectrogram; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-6685-9

Type

conf

DOI

10.1109/ISCAS.2001.921018

Filename

921018