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Mean frequency estimation of narrowband signals

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3 Author(s)
Fernando, Kumari L. ; Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA ; Mathews, V.J. ; Clark, Edward B.

This letter shows that the single frequency approximation for a narrowband lowpass signal embedded in white noise using the Pisarenko harmonic decomposition algorithm is approximately the power-weighted mean frequency of the signal. Experimental results indicate that this method is superior to a commonly used Fourier transform based mean frequency estimation method.

Published in:

Signal Processing Letters, IEEE  (Volume:11 ,  Issue: 2 )