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

Letizia Lo Presti; Gabriella Olmo; Lorenzo Galleani

doi:10.1117/12.367676

2 November 1999 Identification of a multicomponent signal by a TEA scheme operating in the time-frequency plane

Letizia Lo Presti, Gabriella Olmo, Lorenzo Galleani

Proceedings Volume 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX; (1999) https://doi.org/10.1117/12.367676
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Letizia Lo Presti, Gabriella Olmo, and Lorenzo Galleani "Identification of a multicomponent signal by a TEA scheme operating in the time-frequency plane", Proc. SPIE 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, (2 November 1999); https://doi.org/10.1117/12.367676

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