On filtering short-duration sinusoids, periodic signals and damped sinusoids

R. R. Galigekere, Y. V. Venkatesh, D. W. Holdsworth

Research output: Contribution to journalConference article

Abstract

Adaptive filtering of damped sinusoids is considered in this paper. Damped sinusoids include sinusoids as a special case. The recently proposed instantaneous matched filter (IMF) approach, its limitation, and a remedy, are discussed. Its recursive implementation that circumvents the limitation is shown to consist of the same equations as those of recursive least squares (RLS) adaptive linear combiner. A procedure that does not require a knowledge of the frequencies and damping factors, is discussed. Its modified version leads to the idea of using projection matrix for orthogonalization, and to the interpretation that an autoregressive RLS scheme is an adaptive null-filter to the class of sinusoidal signals.

Original languageEnglish
Pages (from-to)702-707
Number of pages6
JournalCanadian Conference on Electrical and Computer Engineering
Volume2
Publication statusPublished - 01-12-1999

Fingerprint

Adaptive filtering
Matched filters
Adaptive filters
Damping

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Hardware and Architecture

Cite this

@article{10c24ad9c30347fa812dc6ea110739d6,
title = "On filtering short-duration sinusoids, periodic signals and damped sinusoids",
abstract = "Adaptive filtering of damped sinusoids is considered in this paper. Damped sinusoids include sinusoids as a special case. The recently proposed instantaneous matched filter (IMF) approach, its limitation, and a remedy, are discussed. Its recursive implementation that circumvents the limitation is shown to consist of the same equations as those of recursive least squares (RLS) adaptive linear combiner. A procedure that does not require a knowledge of the frequencies and damping factors, is discussed. Its modified version leads to the idea of using projection matrix for orthogonalization, and to the interpretation that an autoregressive RLS scheme is an adaptive null-filter to the class of sinusoidal signals.",
author = "Galigekere, {R. R.} and Venkatesh, {Y. V.} and Holdsworth, {D. W.}",
year = "1999",
month = "12",
day = "1",
language = "English",
volume = "2",
pages = "702--707",
journal = "Canadian Conference on Electrical and Computer Engineering",
issn = "0840-7789",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

On filtering short-duration sinusoids, periodic signals and damped sinusoids. / Galigekere, R. R.; Venkatesh, Y. V.; Holdsworth, D. W.

In: Canadian Conference on Electrical and Computer Engineering, Vol. 2, 01.12.1999, p. 702-707.

Research output: Contribution to journalConference article

TY - JOUR

T1 - On filtering short-duration sinusoids, periodic signals and damped sinusoids

AU - Galigekere, R. R.

AU - Venkatesh, Y. V.

AU - Holdsworth, D. W.

PY - 1999/12/1

Y1 - 1999/12/1

N2 - Adaptive filtering of damped sinusoids is considered in this paper. Damped sinusoids include sinusoids as a special case. The recently proposed instantaneous matched filter (IMF) approach, its limitation, and a remedy, are discussed. Its recursive implementation that circumvents the limitation is shown to consist of the same equations as those of recursive least squares (RLS) adaptive linear combiner. A procedure that does not require a knowledge of the frequencies and damping factors, is discussed. Its modified version leads to the idea of using projection matrix for orthogonalization, and to the interpretation that an autoregressive RLS scheme is an adaptive null-filter to the class of sinusoidal signals.

AB - Adaptive filtering of damped sinusoids is considered in this paper. Damped sinusoids include sinusoids as a special case. The recently proposed instantaneous matched filter (IMF) approach, its limitation, and a remedy, are discussed. Its recursive implementation that circumvents the limitation is shown to consist of the same equations as those of recursive least squares (RLS) adaptive linear combiner. A procedure that does not require a knowledge of the frequencies and damping factors, is discussed. Its modified version leads to the idea of using projection matrix for orthogonalization, and to the interpretation that an autoregressive RLS scheme is an adaptive null-filter to the class of sinusoidal signals.

UR - http://www.scopus.com/inward/record.url?scp=0033326152&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033326152&partnerID=8YFLogxK

M3 - Conference article

VL - 2

SP - 702

EP - 707

JO - Canadian Conference on Electrical and Computer Engineering

JF - Canadian Conference on Electrical and Computer Engineering

SN - 0840-7789

ER -