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ICASSP 2019accepted0 citations

Iterative Approximation of Analytic Eigenvalues of a Parahermitian Matrix EVD

Stephan Weiss, Ian K. Proudler, Fraser K. Coutts, Jennifer Pestana

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Abstract

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 iteration continues until a desired accuracy for the approximation of the extracted eigenvalues has been achieved. The approach is compared to existing algorithms.

BibTeX
@inproceedings{icassp2019_iterativeapproxi,
  title = {Iterative Approximation of Analytic Eigenvalues of a Parahermitian Matrix EVD},
  author = {Stephan Weiss and Ian K. Proudler and Fraser K. Coutts and Jennifer Pestana},
  booktitle = {ICASSP 2019},
  year = {2019}
}