Detection of transients using discrete wavelet transform

Athina P. Petropulu

doi:10.1109/ICASSP.1992.226016

Detection of transients using discrete wavelet transform

Athina P. Petropulu

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

7 Scopus citations

Abstract

A new scheme for the detection of transient signals with unknown waveforms and arrival times is presented. The detection is performed in the Discrete Wavelet Transform (DWT) domain, where the presence of a transient is indicated by a peak at a location that depends on the values of the dilation and translation parameters. By choosing these parameters appropriately we can control the sharpness of this peak as well as the distance between different peaks that correspond to different arrival times. As a result, transients that partially overlap in time can be resolved in the DWT domain. The DWT domain preserves the arrival time information even when the transient is corrupted by additive zero-mean noise at a very low signal-to-noise ratio.

Original language	English (US)
Title of host publication	ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	477-480
Number of pages	4
ISBN (Electronic)	0780305329
DOIs	https://doi.org/10.1109/ICASSP.1992.226016
State	Published - 1992
Externally published	Yes
Event	1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States Duration: Mar 23 1992 → Mar 26 1992

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2
ISSN (Print)	1520-6149

Other

Other	1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
Country/Territory	United States
City	San Francisco
Period	3/23/92 → 3/26/92

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.1992.226016

Cite this

Petropulu, A. P. (1992). Detection of transients using discrete wavelet transform. In ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing (pp. 477-480). [226016] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.1992.226016

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title = "Detection of transients using discrete wavelet transform",

abstract = "A new scheme for the detection of transient signals with unknown waveforms and arrival times is presented. The detection is performed in the Discrete Wavelet Transform (DWT) domain, where the presence of a transient is indicated by a peak at a location that depends on the values of the dilation and translation parameters. By choosing these parameters appropriately we can control the sharpness of this peak as well as the distance between different peaks that correspond to different arrival times. As a result, transients that partially overlap in time can be resolved in the DWT domain. The DWT domain preserves the arrival time information even when the transient is corrupted by additive zero-mean noise at a very low signal-to-noise ratio.",

author = "Petropulu, {Athina P.}",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 ; Conference date: 23-03-1992 Through 26-03-1992",

year = "1992",

doi = "10.1109/ICASSP.1992.226016",

language = "English (US)",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

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

pages = "477--480",

booktitle = "ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing",

address = "United States",

}

Petropulu, AP 1992, Detection of transients using discrete wavelet transform. in ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing., 226016, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 477-480, 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992, San Francisco, United States, 3/23/92. https://doi.org/10.1109/ICASSP.1992.226016

Detection of transients using discrete wavelet transform. / Petropulu, Athina P.
ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing. Institute of Electrical and Electronics Engineers Inc., 1992. p. 477-480 226016 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2).

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

TY - GEN

T1 - Detection of transients using discrete wavelet transform

AU - Petropulu, Athina P.

PY - 1992

Y1 - 1992

N2 - A new scheme for the detection of transient signals with unknown waveforms and arrival times is presented. The detection is performed in the Discrete Wavelet Transform (DWT) domain, where the presence of a transient is indicated by a peak at a location that depends on the values of the dilation and translation parameters. By choosing these parameters appropriately we can control the sharpness of this peak as well as the distance between different peaks that correspond to different arrival times. As a result, transients that partially overlap in time can be resolved in the DWT domain. The DWT domain preserves the arrival time information even when the transient is corrupted by additive zero-mean noise at a very low signal-to-noise ratio.

AB - A new scheme for the detection of transient signals with unknown waveforms and arrival times is presented. The detection is performed in the Discrete Wavelet Transform (DWT) domain, where the presence of a transient is indicated by a peak at a location that depends on the values of the dilation and translation parameters. By choosing these parameters appropriately we can control the sharpness of this peak as well as the distance between different peaks that correspond to different arrival times. As a result, transients that partially overlap in time can be resolved in the DWT domain. The DWT domain preserves the arrival time information even when the transient is corrupted by additive zero-mean noise at a very low signal-to-noise ratio.

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U2 - 10.1109/ICASSP.1992.226016

DO - 10.1109/ICASSP.1992.226016

M3 - Conference contribution

AN - SCOPUS:84979195573

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 477

EP - 480

BT - ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992

Y2 - 23 March 1992 through 26 March 1992

ER -

Petropulu AP. Detection of transients using discrete wavelet transform. In ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing. Institute of Electrical and Electronics Engineers Inc. 1992. p. 477-480. 226016. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.1992.226016

Detection of transients using discrete wavelet transform

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