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

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4 Author(s)
YongJune Shin ; Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA ; Sang-Won Nam ; Chong-Koo An ; Powers, E.J.

A practical and effective approach is proposed to detect a transient or non-stationary 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 1D (ie, time-domain) matched filter approach is extended to the 2D (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

Published in:

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on  (Volume:6 )

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