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Proceedings Paper

Identification of a multicomponent signal by a TEA scheme operating in the time-frequency plane
Author(s): Letizia Lo Presti; Gabriella Olmo; Lorenzo Galleani
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Paper Abstract

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.

Paper Details

Date Published: 2 November 1999
PDF: 8 pages
Proc. SPIE 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, (2 November 1999); doi: 10.1117/12.367676
Show Author Affiliations
Letizia Lo Presti, Politecnico di Torino (Italy)
Gabriella Olmo, Politecnico di Torino (Italy)
Lorenzo Galleani, Politecnico di Torino (Italy)

Published in SPIE Proceedings Vol. 3807:
Advanced Signal Processing Algorithms, Architectures, and Implementations IX
Franklin T. Luk, Editor(s)

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