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

Authors

Hakan Caglar, Newark College of Engineering
Ali N. Akansu, Newark College of Engineering

Document Type

Article

Publication Date

1-1-1993

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. © 1993 IEEE

Identifier

0027635236 (Scopus)

Publication Title

IEEE Transactions on Signal Processing

External Full Text Location

https://doi.org/10.1109/78.224242

e-ISSN

19410476

ISSN

1053587X

First Page

2314

Last Page

2321

Issue

7

Volume

41

Recommended Citation

Caglar, Hakan and Akansu, Ali N., "A Generalized Parametric PR-QMF Design Technique Based on Bernstein Polynomial Approximation" (1993). Faculty Publications. 17166.
https://digitalcommons.njit.edu/fac_pubs/17166