Tkacenko, Andre and Vaidyanathan, P. P. (2001) Sinusoidal frequency estimation using filter banks. In: 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings. International Conference on Acoustics Speech and Signal Processing (ICASSP) . IEEE , Piscataway, NJ, pp. 3089-3092. ISBN 0-7803-7041-4 http://resolver.caltech.edu/CaltechAUTHORS:20111122-142434848
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One problem of great interest to the signal processing community is that of estimating the frequencies of sinusoids buried in noise. Traditional methods applied to a fullband signal fail to estimate accurately when the signal-to-noise ratio (SNR) or spacing between frequencies is small. They also fail when the noise is not white and its statistics are unknown. We consider these methods when applied to the subbands of a filter bank and show that, through proper choice of analysis filters, the local SNR and frequency spacing increase by the decimation ratio. We also show that the subband noise processes are, on average, more "white" than the fullband one in terms of the spectral flatness measure. This suggests that if the noise statistics are unknown, there will be less error by estimating in the subbands as opposed to the fullband. Experimental results support this theory, as we show.
|Item Type:||Book Section|
|Additional Information:||© 2001 IEEE. Date of Current Version: 07 August 2002.|
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|Official Citation:||Tkacenko, A.; Vaidyanathan, P.P.; , "Sinusoidal frequency estimation using filter banks," Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on , vol.5, no., pp.3089-3092 vol.5, 2001 doi: 10.1109/ICASSP.2001.940311|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Jason Perez|
|Deposited On:||22 Nov 2011 23:34|
|Last Modified:||22 Nov 2011 23:34|
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