A Generalized Parametric PR-QMF Design Technique Based on Bernstein Polynomial Approximation

Hakan Caglar, Ali N. Akansu

Research output: Contribution to journalArticlepeer-review

63 Scopus citations

Abstract

A generalized parametric PR-QMF design technique based on Bernstein polynomial approximation in the magnitude square domain is developed in this paper. The parametric nature of this solution provides useful insights to the PR-QMF problem. Several well-known orthonormal wavelet filters, PR-QMF's, are shown to be the special cases of the proposed technique. Energy compaction performance of a few popular signal decomposition techniques are presented for AR(1) signal sources. It is observed that the hierarchical QMF filter banks considered here outperform the block transforms as expected.

Original languageEnglish (US)
Pages (from-to)2314-2321
Number of pages8
JournalIEEE Transactions on Signal Processing
Volume41
Issue number7
DOIs
StatePublished - Jul 1993

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

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