A state space approach for the 2-D harmonic retrieval problem
- 24 March 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 9, 174-176
- https://doi.org/10.1109/icassp.1984.1172376
Abstract
In this paper, a State Space approach to the 2-D harmonic retrieval problem is presented. Under certain assumptions, it is shown that the data and covariance matrices have finite rank and also possess a desirable algebraic structure. Then methods employing the Principal components algorithm are developed to estimate the state space parameters and the sinusoid parameters directly from the data and from the covariance information. Simulation results to support the methods are also provided.Keywords
This publication has 3 references indexed in Scilit:
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- Spectral estimation: An overdetermined rational model equation approachProceedings of the IEEE, 1982
- Estimation of frequencies of multiple sinusoids: Making linear prediction perform like maximum likelihoodProceedings of the IEEE, 1982