Title :
Zero-tracking time-frequency distributions
Author :
Wang, Chenshu ; Amin, Moeness G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.599340