- Title
- A robust interpolation algorithm for spectral estimation
- Creator
- Mahata, Kaushik; Fu, Minyue
- Relation
- IEEE International Conference on Acoustics, Speech and Signal Processing. (ICASSP). IEEE International Conference on Acoustics, Speech and Signal Processing Proceedings (Toulouse, France 2006) p. 333-336
- Publisher Link
- http://dx.doi.org/10.1109/ICASSP.2006.1660658
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2006
- Description
- We 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.
- Subject
- filtering theory; interpolation; linear matrix inequalities; spectral analysis
- Identifier
- http://hdl.handle.net/1959.13/30025
- Identifier
- uon:2648
- Identifier
- ISBN:1-4244-0469-X
- Rights
- 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.
- Language
- eng
- Full Text
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