2 November 1999 Identification of a multicomponent signal by a TEA scheme operating in the time-frequency plane
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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.
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Letizia Lo Presti, Letizia Lo Presti, Gabriella Olmo, Gabriella Olmo, Lorenzo Galleani, 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); doi: 10.1117/12.367676; https://doi.org/10.1117/12.367676
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