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An eigendecomposition based method for twodimensional frequency estimation is analyzed in this paper. This method, to be referred to as matrix pencil (MP) method, computes a smoothed data covariance matrix, then its eigendecomposition, and then the two-dimensional frequencies via a MP approach. The MP method is now known to be more efficient in computation than many other methods and able to provide a near optimum performance for relatively large signal-to-noise ratio (SNR). The aim of thisdoi:10.1016/0005-1098(94)90235-6 fatcat:vjmgefugbferzkftdcfywbecs4