DocumentCode
311254
Title
Zero-tracking time-frequency distributions
Author
Wang, Chenshu ; Amin, Moeness G.
Author_Institution
Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA
Volume
3
fYear
1997
fDate
21-24 Apr 1997
Firstpage
2021
Abstract
The zero-tracking time-frequency distribution (TFD) is introduced. The local autocorrelation function of the TFD, defined by an appropriate kernel, is used to form a polynomial whose roots correspond to the instantaneous frequencies of the multicomponent signal. Two techniques for zero-tracking based on the TFD are presented. The first technique requires updating all of the polynomial signal and extraneous zeros, and is based on the formula relating to the first order approximation, the changes in the polynomial roots and coefficients. The second technique employs the zero-finding Newton´s method to only obtain the zero-trajectories of interest
Keywords
Newton method; adaptive filters; adaptive signal processing; approximation theory; correlation methods; filtering theory; frequency estimation; poles and zeros; polynomials; statistical analysis; time-frequency analysis; tracking filters; TFD; adaptive filter; coefficients; first order approximation; instantaneous frequency estimation; kernel; local autocorrelation function; multicomponent signal; polynomial roots; polynomial signal; zero finding Newton´s method; zero tracking time-frequency distributions; zero trajectories; Adaptive filters; Autocorrelation; Fourier transforms; Frequency estimation; Hidden Markov models; Kernel; Newton method; Polynomials; Signal analysis; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location
Munich
ISSN
1520-6149
Print_ISBN
0-8186-7919-0
Type
conf
DOI
10.1109/ICASSP.1997.599340
Filename
599340
Link To Document