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A minimum free-energy hybrid algorithm for 2-D spectral estimation

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2 Author(s)
D. K. Cooper ; Dept. of Math. Sci., Rensselaer Polytech. Inst., Troy, NY, USA ; J. M. Pimbley

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

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IEEE Transactions on Signal Processing  (Volume:42 ,  Issue: 3 )