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

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

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

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

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	702-707
Number of pages	6
Journal	Canadian Conference on Electrical and Computer Engineering
Volume	2
Publication status	Published - 01-12-1999
Event	1999 IEEE Canadian Conference on Electrical and Computer Engineering 'Engineering Solutions for the Next Millennium' - Edmonton, Alberta, Can Duration: 09-05-1999 → 12-05-1999

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Hardware and Architecture

Cite this

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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.",

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year = "1999",

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journal = "Canadian Conference on Electrical and Computer Engineering",

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note = "1999 IEEE Canadian Conference on Electrical and Computer Engineering 'Engineering Solutions for the Next Millennium' ; Conference date: 09-05-1999 Through 12-05-1999",

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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 - https://www.scopus.com/pages/publications/0033326152

UR - https://www.scopus.com/pages/publications/0033326152#tab=citedBy

M3 - Conference article

AN - SCOPUS:0033326152

SN - 0840-7789

VL - 2

SP - 702

EP - 707

JO - Canadian Conference on Electrical and Computer Engineering

JF - Canadian Conference on Electrical and Computer Engineering

T2 - 1999 IEEE Canadian Conference on Electrical and Computer Engineering 'Engineering Solutions for the Next Millennium'

Y2 - 9 May 1999 through 12 May 1999

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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