CONVERGENCE PROPERTIES OF AN ADAPTIVE DIGITAL LATTICE FILTER.

Michael Honig*, David G. Nesserschmitt

*Corresponding author for this work

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Convergence properties of a continuously adaptive digital lattice filter used as a linear predictor are investigated for both an unnormalized and a normalized gradient adaptation algorithm. The PARCOR coefficient mean value and the output mean square error are approximated and a simple model is described which approximates these quantities as functions of time. Calculated curves are compared with simulation results. Results obtained for a two stage lattice are then compared with the two-stage 1ms transversal filter algorithm, demonstrating that it is possible but unlikely for the transversal filter to converge faster than the analogous lattice filter.

Original languageEnglish (US)
Pages (from-to)984-988
Number of pages5
JournalRecord - IEEE International Conference on Acoustics, Speech & Signal Processing
Volume3
StatePublished - Jan 1 1980

ASJC Scopus subject areas

  • Engineering(all)

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