@TechReport{	  it:1999-007,
  author	= {Andreas Jakobsson and Marple, Jr., S. Lawrence and Petre
		  Stoica},
  title		= {Two-Dimensional Capon Spectrum Analysis},
  institution	= {Department of Information Technology, Uppsala University},
  department	= {Division of Systems and Control},
  year		= {1999},
  number	= {1999-007},
  month		= sep,
  abstract	= {We present a computationally efficient algorithm for
		  computing the 2-D Capon spectral estimator. The
		  implementation is based on the fact that the 2-D data
		  covariance matrix will have a \emph{Toeplitz-Block-Toeplitz
		  structure}, with the result that the inverse covariance
		  matrix can be expressed in closed form by using a special
		  case of the Gohberg-Heinig formula that is a function of
		  strictly the forward 2-D prediction matrix polynomials.
		  Furthermore, we present a novel method, based on a 2-D
		  lattice algorithm, to compute the needed forward prediction
		  matrix polynomials and discuss the difference in the
		  so-obtained 2-D spectral estimate as compared to the one
		  obtained by using the prediction matrix polynomials given
		  by the Whittle-Wiggins-Robinson algorithm. Numerical
		  simulations illustrate the clear computational gain in
		  comparison to both the well-known classical implementation
		  and the method recently published by Liu et al.}
}