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Proceedings Paper

Frequency-selective techniques based on singular value decomposition (SVD), total least squares (TLS), and bandpass filtering
Author(s): Hua Chen; Sabine Van Huffel; Joos Vandewalle
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Paper Abstract

Much research has focused on estimating the parameters of a sum of exponentially damped sinusoids. In some applications, such as nuclear magnetic resonance signal processing, only a few of the sinusoids are of interest. This paper presents some new frequency-selective techniques for estimating the parameters of sinusoids within a specified frequency region using a subspace and SVD-based estimation algorithm and an FIR filter matrix. The applicable estimation algorithms in this technique are the linear prediction method, the matrix pencil method, Kung et al.'s method and its total-least-squares variant, called the HTLS method. The benefits of the frequency-selective technique combined with the HTLS estimation method are confirmed through simulations.

Paper Details

Date Published: 28 October 1994
PDF: 11 pages
Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); doi: 10.1117/12.190871
Show Author Affiliations
Hua Chen, Katholieke Univ. Leuven (Belgium)
Sabine Van Huffel, Katholieke Univ. Leuven (Belgium)
Joos Vandewalle, Katholieke Univ. Leuven (Belgium)


Published in SPIE Proceedings Vol. 2296:
Advanced Signal Processing: Algorithms, Architectures, and Implementations V
Franklin T. Luk, Editor(s)

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