ADAPTIVE POLE-ZERO PREDICTOR.

Wasfy B. Mikhael, Andreas Spanias, Frank H. Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The authors propose a two-stage predictor which is capable of predicting ARMA processes accurately with a reduced number of parameters at the expense of extra processing. This is achieved by cascading a classical linear predictor, where the constraint on the predictor order is relaxed, and a pole-zero recursivelike structure. A new optimum time-domain gradient algorithm for the linear prediction process is also presented. Computer simulations for both low- and high-order recursive filters show the excellent performance of the technique.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherIEEE
Pages1107-1110
Number of pages4
Publication statusPublished - 1985
Externally publishedYes

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

Mikhael, W. B., Spanias, A., & Wu, F. H. (1985). ADAPTIVE POLE-ZERO PREDICTOR. In Proceedings - IEEE International Symposium on Circuits and Systems (pp. 1107-1110). IEEE.