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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/30025
- A robust interpolation algorithm for spectral estimation
- 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.
- 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
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- Institute of Electrical and Electronics Engineers (IEEE)
linear matrix inequalities;
- Resource Type
- conference paper
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