High-Resolution Estimation of Multidimensional Spectra from Unevenly Sampled Data
Estimation of high-resolution multidimensional spectra from unevenly sampled limited sized data sets plays an important role in a large variety of signal processing applications. In this work, we develop a high-resolution non-parametric estimator for unevenly sampled N-dimensional data based on a recently introduced iterative method, the so-called iterative adaptive approach (IAA). The proposed es