DocumentCode :
1871553
Title :
An adaptive technique for high resolution time-varying spectral estimation
Author :
Fineberg, Adam B. ; Mammone, Richard J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA
fYear :
1991
fDate :
14-17 Apr 1991
Firstpage :
3185
Abstract :
An adaptive technique which determines the spectral coefficients of a time-varying signal is presented. The algorithm performs a least-squares decomposition of the signal onto a high-resolution nonharmonic Fourier basis. The spectral estimate is updated sample by sample and produces a decomposition with very good localization in both the time and frequency domains. This yields a distribution of signal intensities in the time-frequency plane which tracks the instantaneous frequency and local bandwidth of the signal. The detection of tones spaced closer than expected by the uncertainty distance (super-resolution) is shown by computer simulation. Numerical results demonstrate the super-resolving capability and fast tracking rate as well as the stability in the presence of additive noise. Potential applications of this method include tracking of frequency hopping communications, FM demodulation, and formant tracking in speech signals
Keywords :
computational complexity; least squares approximations; parameter estimation; signal processing; spectral analysis; tracking; FM demodulation; adaptive technique; computational complexity; computer simulation; formant tracking; frequency estimation; frequency hopping communications; high resolution time-varying spectral estimation; high-resolution nonharmonic Fourier basis; instantaneous frequency; least-squares decomposition; local bandwidth; speech signals; superresolving capability; time-varying signal; tracking rate; Additive noise; Application software; Bandwidth; Computer simulation; Frequency domain analysis; Frequency estimation; Signal resolution; Stability; Time frequency analysis; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
ISSN :
1520-6149
Print_ISBN :
0-7803-0003-3
Type :
conf
DOI :
10.1109/ICASSP.1991.150132
Filename :
150132
Link To Document :
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