Title :
The L-Wigner distributions as a tool for robust time-frequency signal analysis
Author :
Stankovic, Lj ; Uskokovic, Z. ; Stankovic, S. ; Petranovic, D. ; Petrovic, Z.
Author_Institution :
Electr. Eng. Dept., Montenegro Univ., Yugoslavia
fDate :
31 Oct-2 Nov 1994
Abstract :
A robust time-frequency analysis, producing a rough parameters´ estimation of a signal is presented. As a tool for this analysis recently defined L-Wigner distribution is used. Its properties are also presented. The L-Wigner distribution is realized using an iterative formula starting from the Short time Fourier transform, via the Wigner distribution. The frequency domain window is used to eliminate the cross terms. The signal´s parameters that may be easily estimated (even in the case when the signal is heavily corrupted by noise) are: the time instant and the instantaneous frequency corresponding to the maximal signal power. The theory is illustrated on the numerical example
Keywords :
Fourier transforms; Gaussian noise; Wigner distribution; iterative methods; spectral analysis; time-frequency analysis; white noise; AWGN; L-Wigner distributions; Wigner distribution; additive white Gaussian noise; frequency domain window; instantaneous frequency; iterative formula; maximal signal power; parameter estimation; robust time-frequency signal analysis; short time Fourier transform; signal parameters; time instant; Educational institutions; Fourier transforms; Frequency domain analysis; Frequency estimation; Higher order statistics; Parameter estimation; Robustness; Signal analysis; Spectral analysis; Time frequency analysis;
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-6405-3
DOI :
10.1109/ACSSC.1994.471417