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 articlepeer-review

4 Citations (Scopus)


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
Publication statusPublished - 2001
Event2001 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States
Duration: 2001 May 72001 May 11

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


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