Iterative approximation of analytic eigenvalues of a parahermitian matrix EVD

Weiss, Stephan and Proudler, Ian K. and Coutts, Fraser K. and Pestana, Jennifer (2019) Iterative approximation of analytic eigenvalues of a parahermitian matrix EVD. In: 2019 International Conference on Acoustics, Speech, and Signal Processing, 2019-05-12 - 2019-05-17. (https://doi.org/10.1109/ICASSP.2019.8682407)

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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.

ORCID iDs

Weiss, Stephan ORCID logoORCID: https://orcid.org/0000-0002-3486-7206, Proudler, Ian K., Coutts, Fraser K. ORCID logoORCID: https://orcid.org/0000-0003-2299-2648 and Pestana, Jennifer ORCID logoORCID: https://orcid.org/0000-0003-1527-3178;
  • Item type:Conference or Workshop Item(Paper)
    ID code:66825
    Dates:
    Date
    Event
    16 May 2019
    Published
    17 April 2019
    Published Online
    1 February 2019
    Accepted
    Notes:© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Faculty of Science > Mathematics and Statistics
    Depositing user: Pure Administrator
    Date deposited:05 Feb 2019 12:45
    Last modified:11 Nov 2024 16:57
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/66825
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