A robust interpolation algorithm for spectral estimation
conference contribution
posted on 2025-05-11, 12:10 authored by Kaushik Mahata, Minyue FuWe propose a robust interpolation algorithm for model-based spectral estimation. The interpolation data represent information about the half spectrum function associated with a given signal and are computed from an input-to-state filter. Our algorithm allows a large number of noisy interpolation data to be used to optimally fit a half spectrum function of a fixed order. The algorithm involves solving a set of linear matrix inequalities and is thus numerically efficient.
History
Source title
IEEE International Conference on Acoustics, Speech and Signal Processing ProceedingsName of conference
IEEE International Conference on Acoustics, Speech and Signal Processing. (ICASSP)Location
Toulouse, FranceStart date
2006-01-01Pagination
333-336Publisher
Institute of Electrical and Electronics Engineers (IEEE)Place published
Piscataway, NJLanguage
- en, English
College/Research Centre
Faculty of Engineering and Built EnvironmentSchool
Centre for Complex Dynamic Systems and ControlRights statement
Copyright © 2006 IEEE. Reprinted from IEEE International Conference on Acoustics, Speech and Signal Processing Proceedings, 3, 333-336. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.Usage metrics
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