PR-QMF design with Bernstein polynomials

Hakan Caglar; Ali N. Akansu

doi:10.1109/ISCAS.1992.230051

PR-QMF design with Bernstein polynomials

Hakan Caglar, Ali N. Akansu

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

A generalized, parametric PR - QMF design technique based on Bernstein polynomial approximation is developed in this paper. The parametric nature of this solution provides very useful insights to the PR - QMF problem. Several well-known orthonormal wavelet filters, PR - QMFs, 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 displayed that the QMF filter banks considered here outperform the block transforms as expected.

Original language	English (US)
Title of host publication	1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	999-1002
Number of pages	4
ISBN (Electronic)	0780305930
DOIs	https://doi.org/10.1109/ISCAS.1992.230051
State	Published - 1992
Event	1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992 - San Diego, United States Duration: May 10 1992 → May 13 1992

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	2
ISSN (Print)	0271-4310

Conference

Conference	1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
Country/Territory	United States
City	San Diego
Period	5/10/92 → 5/13/92

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/ISCAS.1992.230051

Cite this

@inproceedings{47cea59195224585a4da492acfa90f8f,

title = "PR-QMF design with Bernstein polynomials",

abstract = "A generalized, parametric PR - QMF design technique based on Bernstein polynomial approximation is developed in this paper. The parametric nature of this solution provides very useful insights to the PR - QMF problem. Several well-known orthonormal wavelet filters, PR - QMFs, 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 displayed that the QMF filter banks considered here outperform the block transforms as expected.",

author = "Hakan Caglar and Akansu, {Ali N.}",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992 ; Conference date: 10-05-1992 Through 13-05-1992",

year = "1992",

doi = "10.1109/ISCAS.1992.230051",

language = "English (US)",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "999--1002",

booktitle = "1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992",

address = "United States",

}

Caglar, H & Akansu, AN 1992, PR-QMF design with Bernstein polynomials. in 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992., 230051, Proceedings - IEEE International Symposium on Circuits and Systems, vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 999-1002, 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992, San Diego, United States, 5/10/92. https://doi.org/10.1109/ISCAS.1992.230051

PR-QMF design with Bernstein polynomials. / Caglar, Hakan; Akansu, Ali N.
1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992. Institute of Electrical and Electronics Engineers Inc., 1992. p. 999-1002 230051 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - PR-QMF design with Bernstein polynomials

AU - Caglar, Hakan

AU - Akansu, Ali N.

PY - 1992

Y1 - 1992

N2 - A generalized, parametric PR - QMF design technique based on Bernstein polynomial approximation is developed in this paper. The parametric nature of this solution provides very useful insights to the PR - QMF problem. Several well-known orthonormal wavelet filters, PR - QMFs, 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 displayed that the QMF filter banks considered here outperform the block transforms as expected.

AB - A generalized, parametric PR - QMF design technique based on Bernstein polynomial approximation is developed in this paper. The parametric nature of this solution provides very useful insights to the PR - QMF problem. Several well-known orthonormal wavelet filters, PR - QMFs, 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 displayed that the QMF filter banks considered here outperform the block transforms as expected.

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U2 - 10.1109/ISCAS.1992.230051

DO - 10.1109/ISCAS.1992.230051

M3 - Conference contribution

AN - SCOPUS:5944244872

T3 - Proceedings - IEEE International Symposium on Circuits and Systems

SP - 999

EP - 1002

BT - 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992

Y2 - 10 May 1992 through 13 May 1992

ER -

PR-QMF design with Bernstein polynomials

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