Reflection coefficient estimates based on a Markov chain model
- 24 March 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 4, 727-730
- https://doi.org/10.1109/icassp.1979.1170621
Abstract
We modify the usual lattice formulation of linear predictive analysis by using hard-limited versions of the forwards and backwards prediction error signals to compute estimates of the reflection coefficients. A four state Markov chain model is proposed for the resulting pair-process at each stage of the lattice. For a special case of the model, simple maximum likelihood estimates can be derived. The resulting estimation method reduces the sensitivity of the estimates to outliers in the observations, giving a more robust power spectrum estimate.Keywords
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