Title :
A minimum free-energy hybrid algorithm for 2-D spectral estimation
Author :
Cooper, Douglas K. ; Pimbley, Joseph M.
Author_Institution :
Dept. of Math. Sci., Rensselaer Polytech. Inst., Troy, NY, USA
fDate :
3/1/1994 12:00:00 AM
Abstract :
A separable quasi 2-D spectral estimation algorithm is presented. This hybrid algorithm combines the 1-D minimum free-energy method with the 1-D periodogram. The algorithm reduces to the corresponding maximum entropy hybrid spectral estimator in some cases. The minimum free-energy hybrid algorithm is preferable to the maximum entropy version when the estimated autocorrelation sequence is not extendable or when the signal-to-noise ratio is low. A simulation helps illustrate this point
Keywords :
correlation theory; entropy; signal processing; spectral analysis; 1-D minimum free-energy method; 1-D periodogram; 2-D spectral estimation; autocorrelation sequence; low signal-to-noise ratio; maximum entropy hybrid spectral estimator; minimum free-energy hybrid algorithm; simulation; Autocorrelation; Energy resolution; Entropy; Fourier transforms; Geophysics; Multidimensional systems; Radar imaging; Radio astronomy; Signal to noise ratio; Testing;
Journal_Title :
Signal Processing, IEEE Transactions on
