Design of a time-frequency domain matched filter for detection of non-stationary signals

Y. J. Shin, S. W. Nam, C. K. An, E. J. Powers

Research output: Contribution to journalConference article

4 Citations (Scopus)

Abstract

In this paper, a practical and effective approach is proposed to detect a transient or nonstationary signal component of interest from a composite signal waveform. The detection problem has been re-formulated in terms of time-frequency analysis, and, thus, the conventional 1-D (i.e., time-domain) matched filter approach is extended to the 2-D (here, time-frequency domain) optimal filtering. For that purpose, the reduced interference distribution (RID) algorithm, the outer product expansion of the time-frequency distribution, the singular value decomposition (SVD), and a priori available time-frequency information of a signal part of interest are employed to derive a time-frequency domain matched filter by utilizing the singular values of the sampled time-frequency distribution and the corresponding fractions of signal energy. Finally, one real problem of detecting the snare drum sound event from a measured musical signal is considered to demonstrate the performance of the proposed approach.

Original languageEnglish
Pages (from-to)3585-3588
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume6
Publication statusPublished - 2001 Sep 26
Event2001 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States
Duration: 2001 May 72001 May 11

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Matched filters
Singular value decomposition
Acoustic waves
Composite materials

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

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Design of a time-frequency domain matched filter for detection of non-stationary signals. / Shin, Y. J.; Nam, S. W.; An, C. K.; Powers, E. J.

In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 6, 26.09.2001, p. 3585-3588.

Research output: Contribution to journalConference article

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AU - Shin, Y. J.

AU - Nam, S. W.

AU - An, C. K.

AU - Powers, E. J.

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N2 - In this paper, a practical and effective approach is proposed to detect a transient or nonstationary signal component of interest from a composite signal waveform. The detection problem has been re-formulated in terms of time-frequency analysis, and, thus, the conventional 1-D (i.e., time-domain) matched filter approach is extended to the 2-D (here, time-frequency domain) optimal filtering. For that purpose, the reduced interference distribution (RID) algorithm, the outer product expansion of the time-frequency distribution, the singular value decomposition (SVD), and a priori available time-frequency information of a signal part of interest are employed to derive a time-frequency domain matched filter by utilizing the singular values of the sampled time-frequency distribution and the corresponding fractions of signal energy. Finally, one real problem of detecting the snare drum sound event from a measured musical signal is considered to demonstrate the performance of the proposed approach.

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