High-Resolution Subspace-Based Methods: Eigenvalue- or Eigenvector-Based Estimation?
Résumé
In subspace-based methods for mulditimensional harmonic retrieval, the modes can be estimated either from eigenvalues or eigen-vectors. The purpose of this study is to find out which way is the best. We compare the state-of-the art methods N-D ESPRIT and IMDF, propose a modification of IMDF based on least-squares criterion, and derive expressions of the first-order perturbations for these methods. The theoretical expressions are confirmed by the computer experiments.
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