Identification of a multicomponent signal by a TEA scheme operating in the time-frequency plane

Details Identification of a multicomponent signal by a TEA scheme operating in the time-frequency plane Identification of a multicomponent signal by a TEA scheme operating in the time-frequency plane

Nov 1999

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999spie.3807..602l&link_type=abstract

Proc. SPIE Vol. 3807, p. 602-609, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, Franklin T. Luk;

Computer Science

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Scientific paper

In this paper, a method for signal component separation, operating in the Time-Frequency (TF) plane and employing a Turbo Estimation Algorithm (TEA), is described. A novel 2D distribution is proposed, named Two Window Spectrogram (TWS), which is free from crossterms and able to yield good time and frequency resolution. Then, a set of parameters is defined in the time-frequency plane, which are able to carry the relevant information on the signal components. An algorithm of estimation of these parameters is proposed, making use of a TEA scheme to yield improved performance. The algorithm has been tested by simulation, yielding very encouraging performance.

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