Publication detail

Denoising digital quadrature miror filter banks using remez algorithm

KUBÁSEK, R., GESCHEIDTOVÁ, E., SMÉKAL, Z.

Original Title

Denoising digital quadrature miror filter banks using remez algorithm

English Title

Denoising digital quadrature miror filter banks using remez algorithm

Type

conference paper

Language

en

Original Abstract

The wavelet transform represents a very favourite tool for removing noise from useful signal on many areas of digital signal processing. A problem consists in that selected wavelet functions are mostly used, that in advance define the pulse characteristics of quadrature mirror filters (QMF) of the type of lowpass and highpass filters in a bank of filters. The paper deals with the design of QMF bank using standard design algorithms for digital filters of the type of FIR. The Remez algorithm is used here as an example for the design of a bank of partial digital filters. The design method leads to a filter bank with uniform ripple and enables fulfilling an optional tolerance field in both pass band and stop band with optimum filter order N.

English abstract

The wavelet transform represents a very favourite tool for removing noise from useful signal on many areas of digital signal processing. A problem consists in that selected wavelet functions are mostly used, that in advance define the pulse characteristics of quadrature mirror filters (QMF) of the type of lowpass and highpass filters in a bank of filters. The paper deals with the design of QMF bank using standard design algorithms for digital filters of the type of FIR. The Remez algorithm is used here as an example for the design of a bank of partial digital filters. The design method leads to a filter bank with uniform ripple and enables fulfilling an optional tolerance field in both pass band and stop band with optimum filter order N.

Keywords

filter bank design,Remez algorithm

RIV year

2004

Released

23.06.2004

Publisher

VUTIUM

Location

Brno

ISBN

80-214-2633-0

Book

Analysis of biomedical signals and images

Edition number

1

Pages from

223

Pages to

225

Pages count

3

Documents

BibTex


@inproceedings{BUT11162,
  author="Radek {Kubásek} and Eva {Gescheidtová} and Zdeněk {Smékal}",
  title="Denoising digital quadrature miror filter banks using remez algorithm",
  annote="The wavelet transform represents a very favourite tool for removing noise from useful signal on many areas of digital signal processing. A problem consists in that selected wavelet functions are mostly used, that in advance define the pulse characteristics of quadrature mirror filters (QMF) of the type of lowpass and highpass filters in a bank of filters. The paper deals with the design of QMF bank using standard design algorithms for digital filters of the type of FIR. The Remez algorithm is used here as an example for the design of a bank of partial digital filters. The design method leads to a filter bank with uniform ripple and enables fulfilling an optional tolerance field in both pass band and stop band with optimum filter order N.",
  address="VUTIUM",
  booktitle="Analysis of biomedical signals and images",
  chapter="11162",
  institution="VUTIUM",
  year="2004",
  month="june",
  pages="223",
  publisher="VUTIUM",
  type="conference paper"
}