TWO-STAGE POLE-ZERO PREDICTOR.

W. B. Mikhael, A. S. Spanias, G. Kang, L. Fransen

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

A two-stage pole-zero predictor is proposed which is capable of predicting minimum phase auto regressive moving average (ARMA) processes accurately with a reduced number of parameters. This is achieved by cascading the classical predictor (1st stage), and the pole-zero recursive-like structure (2nd stage). The constraint on the order of the first stage is relaxed since the unknown process is actually represented by the parameters of the second stage. Computer simulations for both low- and high-order ARMA processes are given to demonstrate the excellent performance of the proposed technique.

Original languageEnglish (US)
Pages (from-to)352-354
Number of pages3
JournalIEEE transactions on circuits and systems
VolumeCAS-33
Issue number3
StatePublished - Mar 1 1986
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'TWO-STAGE POLE-ZERO PREDICTOR.'. Together they form a unique fingerprint.

  • Cite this

    Mikhael, W. B., Spanias, A. S., Kang, G., & Fransen, L. (1986). TWO-STAGE POLE-ZERO PREDICTOR. IEEE transactions on circuits and systems, CAS-33(3), 352-354.