Title :
Maximum entropy spectral estimation using the analytical signal
Author_Institution :
Raytheon Company, Portsmouth, RI
fDate :
10/1/1978 12:00:00 AM
Abstract :
Using maximum entropy power spectral estimation, the estimate of the frequency of a sinusoid in white noise has been shown to be very sensitive to the initial sinusoidal phase. This phase dependence can be significantly reduced by replacing the real data by its analytic form, reducing the sampling rate by two, and employing the power spectral estimate for complex data.
Keywords :
Acoustic reflection; Data analysis; Entropy; Equations; Frequency estimation; Phase estimation; Sampling methods; Signal analysis; Underwater vehicles; White noise;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1978.1163127