Title :
Mean frequency estimation of narrowband signals
Author :
Fernando, Kumari L. ; Mathews, V. John ; Clark, Edward B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA
Abstract :
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.
Keywords :
frequency estimation; harmonic analysis; signal processing; spectral analysis; white noise; Pisarenko harmonic decomposition algorithm; mean frequency estimation; narrowband lowpass signal; power-weighted mean frequency; signal processing; single frequency approximation; spectral analysis; white noise; Bandwidth; Cities and towns; Frequency estimation; Narrowband; Power system harmonics; Sampling methods; Signal processing; Signal processing algorithms; Ultrasonic imaging; White noise;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2003.821700
