2019
Iterative Approximation of Analytic Eigenvalues of a Parahermitian Matrix EVD
ICASSP 2019accepted
We present an algorithm that extracts analytic eigenvalues from a parahermitian matrix. Operating in the discrete Fourier transform domain, an inner iteration re-establishes the lost association between bins via a maximum likelihood sequence detection driven by a smoothness criterion. An outer itera…