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A general linear prediction approach to the complex split inversion algorithm

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2 Author(s)
J. R. Bellegarda ; IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA ; D. C. Farden

A general linear prediction framework is developed for the derivation of the complex split Levinson algorithm, which leads naturally to a structural interpretation of the redundancy present in the classical Levinson-Durbin algorithm. A novel order-recursive predictor structure is presented. It is conceptually simpler than a lattice realization since it propagates only one (generalized) prediction error. When the usual prediction error is desired, it can be recovered through a simple terminal stage.<>

Published in:

IEEE Transactions on Acoustics, Speech, and Signal Processing  (Volume:37 ,  Issue: 4 )