Parameter estimation by linear prediction in cascade form

Authors

L. B. Jackson, University of Rhode IslandFollow
R. M. Rao, University of Rhode Island
S. L. Wood, University of Rhode Island

Document Type

Conference Proceeding

Date of Original Version

1-1-1977

Abstract

The autocorrelation and covariance methods of linear prediction are formulated in terms of an inverse digital filter in cascade form, rather than the traditional direct form, to allow pole locations in the system model to be readily estimated. Iterative solution of the corresponding non-linear normal equations is described. Applications to speech analysis and the compensation of biomedical signals are briefly discussed.

Publication Title, e.g., Journal

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volume

1977-May

Citation/Publisher Attribution

Jackson, L. B., R. M. Rao, and S. L. Wood. "Parameter estimation by linear prediction in cascade form." ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 1977-May, (1977): 727-731. doi: 10.1109/ICASSP.1977.1170317.